Table of Contents
I.Research Background
II. Research Method
1 Research Method
2 Industry Survey
3 Research Object
III. Character of Survey Sample
1 General Introduction of sample character
　　1.1 Sample ages Classified Method
　　1.2 Sample educations Classified Method
　　1.3 Sample incomes Classified Method
　　1.4 Sample distrbution Classified Method
2 Sample distrbution by ages
3 Sample distrbution by educations
4 Sample distrbution by industries
5 Sample distrbution by company positions
6 Sample distrbution by incomes
7 Sample distrbution by internet comsuptions
8 Sample distrbution by mobile payments
9 Sample distrbution by wireless value-added services
10 Sample distrbution by areas
IV General Status
1 Degree of Industry Concentration of 50 areas in China Internet industry
2 Arrival rates of Netizens of 50 areas in China Internet industry
3 Arrival sizes of Netizens of 50 areas in China Internet industry
V Body of Report
1 Portal
　　1.1 Market data
　　　　1.1.1 Degree of Industry Concentration
　　　　1.1.2 Arrival rate of Netizens
　　　　1.1.3 Arrival size of Netizens
　　1.2 Data analysis & data mining
　　1.3 Market situation & trends
　　　　1.3.1 Market size
　　　　1.3.2 Situation
　　　　1.3.3 Trends
　　1.4 Question & keypoints
　　　　1.4.1 Questions and Problems
　　　　1.4.2 Development keypoints
　　1.5 Case analysis
　　　　1.5.1 TOP Case
　　　　1.5.2 INNOVATOR Case
2 Search Engines
　　2.1 Market data
　　　　2.1.1 Degree of Industry Concentration
　　　　2.1.2 Arrival rate of Netizens
　　　　2.1.3 Arrival size of Netizens
　　2.2 Data analysis & data mining
　　2.3 Market situation & trends
　　　　2.3.1 Market size
　　　　2.3.2 Situation
　　　　2.3.3 Trends
　　2.4 Question & keypoints
　　　　1.4.1 Questions and Problems
　　　　1.4.2 Development keypoints
　　2.5 Case analysis
　　　　2.5.1 TOP Case
　　　　2.5.2 INNOVATOR Case
3 Instant Messengers
　　3.1 Market data
　　　　3.1.1 Degree of Industry Concentration
　　　　3.1.2 Arrival rate of Netizens
　　　　3.1.3 Arrival size of Netizens
　　3.2 Data analysis & data mining
　　3.3 Market situation & trends
　　　　3.3.1 Market size
　　　　3.3.2 Situation
　　　　3.3.3 Trends
　　3.4 Question & keypoints
　　　　3.4.1 Questions and Problems
　　　　3.4.2 Development keypoints
　　3.5 Case analysis
　　　　3.5.1 TOP Case
　　　　3.5.2 INNOVATOR Case
4 Email Services
　　4.1Market data
　　　　4.1.1 Degree of Industry Concentration
　　　　4.1.2 Arrival rate of Netizens
　　　　4.1.3 Arrival size of Netizens
　　4.2 Data dnalysis & data mining
　　4.3 Market situation & trends
　　　　4.3.1 Market size
　　　　4.3.2 Situation
　　　　4.3.3 Trends
　　4.4 Question & keypoints
　　　　4.4.1 Questions and Problems
　　　　4.4.2 Development keypoints
　　4.5 Case analysis
　　　　4.5.1 TOP Case
　　　　4.5.2 INNOVATOR Case
5 Online News Websites
　　5.1 Market data
　　　　5.1.1 Degree of Industry Concentration
　　　　5.1.2 Arrival rate of Netizens
　　　　5.1.3 Arrival size of Netizens
　　5.2 Data analysis & data mining
　　5.3 Market situation & trends
　　　　5.3.1 Market size
　　　　5.3.2 Situation
　　　　5.3.3 Trends
　　5.4 Question & keypoints
　　　　5.4.1 Questions and Problems
　　　　5.4.2 Development keypoints
　　5.5 Case analysis
　　　　5.5.1 TOP Case
　　　　5.5.2 INNOVATOR Case
6 Localization Comprehensive Information Websites
　　6.1 Market data
　　　　6.1.1 Degree of Industry Concentration
　　　　6.1.2 Arrival rate of Netizens
　　　　6.1.3 Arrival size of Netizens
　　6.2 Data analysis & data mining
　　6.3 Market situation & trends
　　　　6.3.1 Market size
　　　　6.3.2 Situation
　　　　6.3.3 Trends
　　6.4 Question & keypoints
　　　　6.4.1 Questions and Problems
　　　　6.4.2 Development keypoints
　　6.5 Case analysis
　　　　6.5.1 TOP Case
　　　　6.5.2 INNOVATOR Case
7 Finance Websites
　　7.1 Market data
　　　　7.1.1 Degree of Industry Concentration
　　　　7.1.2 Arrival rate of Netizens
　　　　7.1.3 Arrival size of Netizens
　　7.2 Data analysis & data mining
　　7.3 Market situation & trends
　　　　7.3.1 Market size
　　　　7.3.2 Situation
　　　　7.3.3 Trends
　　7.4 Question & keypoints
　　　　7.4.1 Questions and Problems
　　　　7.4.2 Development keypoints
　　7.5 Case analysis
　　　　7.5.1 TOP Case
　　　　7.5.2 INNOVATOR Case
8 Auto Websites
　　8.1 Market data
　　　　8.1.1 Degree of Industry Concentration
　　　　8.1.2 Arrival rate of Netizens
　　　　8.1.3 Arrival size of Netizens
　　8.2 Data analysis & data mining
　　8.3 Market situation & trends
　　　　8.3.1 Market size
　　　　8.3.2 Situation
　　　　8.3.3 Trends
　　8.4 Question & keypoints
　　　　8.4.1 Questions and Problems
　　　　8.4.2 Development keypoints
　　8.5 Case snalysis
　　　　8.5.1 TOP Case
　　　　8.5.2 INNOVATOR Case
9 Real estate websites
　　9.1 Market data
　　　　9.1.1 Degree of Industry Concentration
　　　　9.1.2 Arrival rate of Netizens
　　　　9.1.3 Arrival size of Netizens
　　9.2 Data analysis & data mining
　　9.3 Market situation & trends
　　　　9.3.1 Market size
　　　　9.3.2 Situation
　　　　9.3.3 Trends
　　9.4 Question & keypoints
　　　　9.4.1 Questions and Problems
　　　　9.4.2 Development keypoints
　　9.5 Case analysis
　　　　9.5.1 TOP Case
　　　　9.5.2 INNOVATOR Case
10 Online Traveling Reservations Websites
　　10.1 Market data
　　　　10.1.1 Degree of Industry Concentration
　　　　10.1.2 Arrival rate of Netizens
　　　　10.1.3 Arrival size of Netizens
　　10.2 Data analysis & data mining
　　10.3 Market situation & trends
　　　　10.3.1 Market size
　　　　10.3.2 Situation
　　　　10.3.3 Trends
　　10.4 Question & keypoints
　　　　10.4.1 Questions and Problems
　　　　10.4.2 Development keypoints
　　10.5 Case analysis
　　　　10.5.1 TOP Case
　　　　10.5.2 INNOVATOR Case
11 Information Technology Websites
　　11.1 Market data
　　　　11.1.1 Degree of Industry Concentration
　　　　11.1.2 Arrival rate of Netizens
　　　　11.1.3 Arrival size of Netizens
　　11.2 Data analysis & data mining
　　11.3 Market situation & trends
　　　　11.3.1 Market size
　　　　11.3.2 Situation
　　　　11.3.3 Trends
　　11.4 Question & keypoints
　　　　11.4.1 Questions and Problems
　　　　11.4.2 Development keypoints
　　11.5 Case analysis
　　　　11.5.1 TOP Case
　　　　11.5.2 INNOVATOR Case
12 C2C Electronic Commerce
　　12.1 Market data
　　　　12.1.1 Degree of Industry Concentration
　　　　12.1.2 Arrival rate of Netizens
　　　　12.1.3 Arrival size of Netizens
　　12.2 Data analysis &data mining
　　12.3 Market situation & trends
　　　　12.3.1 Market size
　　　　12.3.2 Situation
　　　　12.3.3 Trends
　　12.4 Question & keypoints
　　　　12.4.1Questions and Problems
　　　　12.4.2 Development keypoints
　　12.5 Case analysis
　　　　12.5.1 TOP Case
　　　　12.5.2 INNOVATOR Case
13 B2C Electronic Commerce
　　13.1 Market data
　　　　13.1.1 Degree of Industry Concentration
　　　　13.1.2 Arrival rate of Netizens
　　　　13.1.3 Arrival size of Netizens
　　13.2 Data analysis & data mining
　　13.3 Market situation & trends
　　　　13.3.1 Market size
　　　　13.3.2 Situation
　　　　13.3.3 Trends
　　13.4 Question & keypoints
　　　　13.4.1 Questions and Problems
　　　　13.4.2 Development keypoints
　　13.5 Case analysis
　　　　13.5.1 TOP Case
　　　　13.5.2 INNOVATOR Case
14 B2B Electronic Commerce
　　14.1 Market data
　　　　14.1.1 Degree of Industry Concentration
　　　　14.1.2 Arrival rate of Netizens
　　　　14.1.3 Arrival size of Netizens
　　14.2 Data analysis & data mining
　　14.3 Market situation & trends
　　　　14.3.1 Market size
　　　　14.3.2 Situation
　　　　14.3.3 Trends
　　14.4 Question & keypoints
　　　　14.4.1 Questions and Problems
　　　　14.4.2 Development keypoints
　　14.5 Case analysis
　　　　14.5.1 TOP Case
　　　　14.5.2 INNOVATOR Case
15 Online Banking
　　15.1 Market data
　　　　15.1.1 Degree of Industry Concentration
　　　　15.1.2 Arrival rate of Netizens
　　　　15.1.3 Arrival size of Netizens
　　15.2 Data analysis & data mining
　　15.3 Market situation & trends
　　　　15.3.1 Market size
　　　　15.3.2 Situation
　　　　15.3.3 Trends
　　15.4 Question & keypoints
　　　　15.4.1 Questions and Problems
　　　　15.4.2 Development keypoints
　　15.5 Case analysis
　　　　15.5.1 TOP Case
　　　　15.5.2 INNOVATOR Case
16 Electronic Payment
　　16.1 Market data
　　　　16.1.1 Degree of Industry Concentration
　　　　16.1.2 Arrival rate of Netizens
　　　　16.1.3 Arrival size of Netizens
　　16.2 Data analysis &data mining
　　16.3 Market situation & trends
　　　　16.3.1 Market size
　　　　16.3.2 Situation
　　　　16.3.3 Trends
　　16.4 Question & keypoints
　　　　16.4.1 Questions and Problems
　　　　16.4.2 Development keypoints
　　16.5 Case analysis
　　　　16.5.1 TOP Case
　　　　16.5.2 INNOVATOR Case
17 Online Recruiting
　　17.1 Market data
　　　　17.1.1 Degree of Industry Concentration
　　　　17.1.2 Arrival rate of Netizens
　　　　17.1.3 Arrival size of Netizens
　　17.2 Data analysis & data mining
　　17.3 Market situation & trends
　　　　17.3.1 Market size
　　　　17.3.2 Situation
　　　　17.3.3 Trends
　　17.4 Question & keypoints
　　　　17.4.1 Questions and Problems
　　　　17.4.2 Development keypoints
　　17.5 Case analysis
　　　　17.5.1 TOP Case
　　　　17.5.2 INNOVATOR Case
18 Social Network
　　18.1 Market data
　　　　18.1.1 Degree of Industry Concentration
　　　　18.1.2 Arrival rate of Netizens
　　　　18.1.3 Arrival size of Netizens
　　18.2 Data analysis & data mining
　　18.3 Market situation & trends
　　　　18.3.1 Market size
　　　　18.3.2 Situation
　　　　18.3.3 Trends
　　18.4 Question & keypoints
　　　　18.4.1 Questions and Problems
　　　　18.4.2 Development keypoints
　　18.5 Case analysis
　　　　18.5.1 TOP Case
　　　　18.5.2 INNOVATOR Case
19 Online Community
　　19.1 Market data
　　　　19.1.1 Degree of Industry Concentration
　　　　19.1.2 Arrival rate of Netizens
　　　　19.1.3 Arrival size of Netizens
　　19.2 Data analysis & data mining
　　19.3 Market situation & trends
　　　　19.3.1 Market size
　　　　19.3.2 Situation
　　　　19.3.3 Trends
　　19.4 Question & keypoints
　　　　19.4.1 Questions and Problems
　　　　19.4.2 Development keypoints
　　19.5 Case analysis
　　　　19.5.1 TOP Case
　　　　19.5.2 INNOVATOR Case
20 Online Game Informations Websites
　　20.1 Market data
　　　　20.1.1 Degree of Industry Concentration
　　　　20.1.2 Arrival rate of Netizens
　　　　20.1.3 Arrival size of Netizens
　　20.2 Data analysis & data mining
　　20.3 Market situation & trends
　　　　20.3.1 Market size
　　　　20.3.2 Situation
　　　　20.3.3 Trends
　　20.4 Question & keypoints
　　　　20.4.1 Questions and Problems
　　　　20.4.2 Development keypoints
　　20.5 Case analysis
　　　　20.5.1 TOP Case
　　　　20.5.2 INNOVATOR Case
21 Online Game Operators
　　21.1 Market data
　　　　21.1.1 Degree of Industry Concentration
　　　　21.1.2 Arrival rate of Netizens
　　　　21.1.3 Arrival size of Netizens
　　21.2 Data analysis & data mining
　　21.3 Market situation & trends
　　　　21.3.1 Market size
　　　　21.3.2 Situation
　　　　21.3.3 Trends
　　21.4 Question & keypoints
　　　　21.4.1 Questions and Problems
　　　　21.4.2 Development keypoints
　　21.5 Case analysis
　　　　21.5.1 TOP Case
　　　　21.5.2 INNOVATOR Case
22 Online Cartoons
　　22.1 Market data
　　　　22.1.1 Degree of Industry Concentration
　　　　22.1.2 Arrival rate of Netizens
　　　　22.1.3 Arrival size of Netizens
　　22.2 Data analysis & data mining
　　22.3 Market situation & trends
　　　　22.3.1 Market size
　　　　22.3.2 Situation
　　　　22.3.3 Trends
　　22.4 Question & keypoints
　　　　22.4.1 Questions and Problems
　　　　22.4.2 Development keypoints
　　22.5 Case analysis
　　　　22.5.1 TOP Case
　　　　22.5.2 INNOVATOR Case
23 Online Music
　　23.1 Market data
　　　　23.1.1 Degree of Industry Concentration
　　　　23.1.2 Arrival rate of Netizens
　　　　23.1.3 Arrival size of Netizens
　　23.2 Data analysis & data mining
　　23.3 Market situation & trends
　　　　23.3.1 Market size
　　　　23.3.2 Situation
　　　　23.3.3 Trends
　　23.4 Question & keypoints
　　　　23.4.1 Questions and Problems
　　　　23.4.2 Development keypoints
　　23.5 Case analysis
　　　　23.5.1 TOP Case
　　　　23.5.2 INNOVATOR Case
24 Music Search Engines
　　24.1 Market data
　　　　24.1.1 Degree of Industry Concentration
　　　　24.1.2 Arrival rate of Netizens
　　　　24.1.3 Arrival size of Netizens
　　24.2 Data analysis & data mining
　　24.3 Market situation & trends
　　　　24.3.1 Market size
　　　　24.3.2 Situation
　　　　24.3.3 Trends
　　24.4 Question & keypoints
　　　　24.4.1 Questions and Problems
　　　　24.4.2 Development keypoints
　　24.5 Case analysis
24. 5.1 TOP Case
　　　　24.5.2 INNOVATOR Case
25 Online Movies
　　25.1 Market data
　　　　25.1.1 Degree of Industry Concentration
　　　　25.1.2 Arrival rate of Netizens
　　　　25.1.3 Arrival size of Netizens
　　25.2 Data analysis & data mining
　　25.3 Market situation & trends
　　　　25.3.1 Market size
　　　　25.3.2 Situation
　　　　25.3.3 Trends
　　25.4 Question & keypoints
　　　　25.4.1Questions and Problems
　　　　25.4.2 Development keypoints
　　25.5 Case analysis
　　　　25.5.1 TOP Case
　　　　25.5.2 INNOVATOR Case
26 Online Women Websites
　　26.1 Market data
　　　　26.1.1 Degree of Industry Concentration
　　　　26.1.2 Arrival rate of Netizens
　　　　26.1.3 Arrival size of Netizens
　　26.2 Data analysis & data mining
　　26.3 Market situation & trends
　　　　26.3.1 Market size
　　　　26.3.2 Situation
　　　　26.3.3 Trends
　　26.4 Question & keypoints
　　　　26.4.1 Questions and Problems
　　　　26.4.2 Development keypoints
　　26.5 Case analysis
　　　　26.5.1 TOP Case
　　　　26.5.2 INNOVATOR Case
27 Online Health Websites
　　27.1 Market data
　　　　27.1.1 Degree of Industry Concentration
　　　　27.1.2 Arrival rate of Netizens
　　　　27.1.3 Arrival size of Netizens
　　27.2 Data analysis & data mining
　　27.3 Market situation & trends
　　　　27.3.1 Market size
　　　　27.3.2 Situation
　　　　27.3.3 Trends
　　27.4 Question & keypoints
　　　　27.4.1 Questions and Problems
　　　　27.4.2 Development keypoints
　　27.5 Case analysis
　　　　27.5.1 TOP Case
　　　　27.5.2 INNOVATOR Case
28 Online Education
　　28.1 Market data
　　　　28.1.1 Degree of Industry Concentration
　　　　28.1.2 Arrival rate of Netizens
　　　　28.1.3 Arrival size of Netizens
　　28.2 Data analysis & data mining
　　28.3 Market situation & trends
　　　　28.3.1 Market size
　　　　28.3.2 Situation
　　　　28.3.3 Trends
　　28.4 Question & keypoints
　　　　28.4.1 Questions and Problems
　　　　28.4.2 Development keypoints
　　28.5 Case analysis
　　　　28.5.1 TOP Case
　　　　28.5.2 INNOVATOR Case
29 Online Entertaiment
29. 1 Market data
　　　　29.1.1 Degree of Industry Concentration
　　　　29.1.2 Arrival rate of Netizens
　　　　29.1.3 Arrival size of Netizens
　　29.2 Data analysis & data mining
　　29.3 Market situation & trends
　　　　29.3.1 Market size
　　　　29.3.2 Situation
　　　　29.3.3 Trends
　　29.4 Qquestion & keypoints
　　　　29.4.1 Questions and Problems
　　　　29.4.2 Development keypoints
　　29.5 Case analysis
　　　　29.5.1 TOP Case
　　　　29.5.2 INNOVATOR Case
30 Online Sports Websites
　　30.1 Market data
　　　　30.1.1 Degree of Industry Concentration
　　　　30.1.2 Arrival rate of Netizens
　　　　30.1.3 Arrival size of Netizens
　　30.2 Data analysis & data mining
　　30.3 Market situation & trends
　　　　30.3.1 Market size
　　　　30.3.2 Situation
　　　　30.3.3 Trends
　　30.4 Question & keypoints
　　　　30.4.1 Questions and Problems
　　　　30.4.2 Development keypoints
　　30.5 Case analysis
　　　　30.5.1 TOP Case
　　　　30.5.2 INNOVATOR Case
31 Online Literature Websites
　　31.1 Market data
　　　　31.1.1 Degree of Industry Concentration
　　　　31.1.2 Arrival rate of Netizens
　　　　31.1.3 Arrival size of Netizens
　　31.2 Data analysis & data mining
　　31.3 Market situation & trends
　　　　31.3.1 Market size
　　　　31.3.2 Situation
　　　　31.3.3 Trends
　　31.4 Question & keypoints
　　　　31.4.1 Questions and Problems
　　　　31.4.2 Development keypoints
　　31.5 Case analysis
　　　　31.5.1 TOP Case
　　31.45.2 INNOVATOR Case
32 Online Art Designs
　　32.1Market data
　　　　32.1.1 Degree of Industry Concentration
　　　　32.1.2 Arrival rate of Netizens
　　　　32.1.3 Arrival size of Netizens
　　32.2 Data analysis & data mining
　　32.3 Market situation & trends
　　　　32.3.1 Market size
　　　　32.3.2 Situation
　　　　32.3.3 Trends
　　32.4 Question & keypoints
　　　　32.4.1 Questions and Problems
　　　　32.4.2 Development keypoints
　　32.5 Case analysis
　　　　32.5.1 TOP Case
　　　　32.5.2 INNOVATOR Case
33 Website Navigation
　　33.1 Market data
　　　　33.1.1 Degree of Industry Concentration
　　　　33.1.2 Arrival rate of Netizens
　　　　33.1.3 Arrival size of Netizens
　　33.2 Data analysis & data mining
　　33.3 Market situation & trends
　　　　33.3.1 Market size
　　　　33.3.2 Situation
　　　　33.3.3 Trends
　　33.4 Question & keypoints
　　　　33.4.1 Questions and Problems
　　　　33.4.2 Development keypoints
　　33.5 Case analysis
　　　　33.5.1 TOP Case
　　　　33.5.2 INNOVATOR Case
34 Software Downloads Service
　　34.1 Market data
　　　　34.1.1 Degree of Industry Concentration
　　　　34.1.2 Arrival rate of Netizens
　　　　34.1.3 Arrival size of Netizens
　　34.2 Data analysis & data mining
　　34.3 Market situation & trends
　　　　34.3.1 Market size
　　　　34.3.2 Situation
　　　　34.3.3 Trends
　　34.4 Question & keypoints
　　　　34.4.1 Questions and Problems
　　　　34.4.2 Development keypoints
　　34.5 Case analysis
　　　　34.5.1 TOP Case
　　　　34.5.2 INNOVATOR Case
35 P2P Services
　　35.1 Market data
　　　　35.1.1 Degree of Industry Concentration
　　　　35.1.2 Arrival rate of Netizens
　　　　35.1.3 Arrival size of Netizens
　　35.2 Data analysis & data mining
　　35.3 Market situation & trends
　　　　35.3.1 Market size
　　　　35.3.2 Situation
　　　　35.3.3 Trends
　　35.4 Question & keypoints
　　　　35.4.1 Questions and Problems
　　　　35.4.2 Development keypoints
　　35.5 Case analysis
　　　　35.5.1 TOP Case
　　　　35.5.2 INNOVATOR Case
36 Online Course Materials
　　36.1 Market data
　　　　36.1.1 Degree of Industry Concentration
　　　　36.1.2 Arrival rate of Netizens
　　　　36.1.3 Arrival size of Netizens
　　36.2 Data analysis & data mining
　　36.3 Market situation & trends
　　　　36.3.1 Market size
　　　　36.3.2 Situation
　　　　36.3.3 Trends
　　36.4 Question & keypoints
　　　　36.4.1 Questions and Problems
　　　　36.4.2 Development keypoints
　　36.5 Case analysis
　　　　36.5.1 TOP Case
　　　　36.5.2 INNOVATOR Case
37 Online Advertisement Alliances
　　37.1 Market data
　　　　37.1.1 Degree of Industry Concentration
　　　　37.1.2 Arrival rate of Netizens
　　　　37.1.3 Arrival size of Netizens
　　37.2 Data analysis & data mining
　　37.3 Market situation & trends
　　　　37.3.1 Market size
　　　　37.3.2 Situation
　　　　37.3.3 Trends
　　37.4 Question & keypoints
　　　　37.4.1 Questions and Problems
　　　　37.4.2 Development keypoints
　　37.5 Case analysis
　　　　37.5.1 TOP Case
　　　　37.5.2 INNOVATOR Case
38 Online Yellow Pages
　　38.1 Market data
　　　　38.1.1 Degree of Industry Concentration
　　　　38.1.2 Arrival rate of Netizens
　　　　38.1.3 Arrival size of Netizens
　　38.2 Data analysis & data mining
　　38.3 Market situation & trends
　　　　38.3.1 Market size
　　　　38.3.2 Situation
　　　　38.3.3 Trends
　　38.4 Question & keypoints
　　　　38.4.1 Questions and Problems
　　　　38.4.2 Development keypoints
　　38.5 Case analysis
　　　　38.5.1 TOP Case
　　　　38.5.2 INNOVATOR Case
39 Online Map Service
　　39.1 Market data
　　　　39.1.1 Degree of Industry Concentration
　　　　39.1.2 Arrival rate of Netizens
　　　　39.1.3 Arrival size of Netizens
　　39.2Data analysis & data mining
　　39.3Market situation & trends
　　　　39.3.1 Market size
　　　　39.3.2 Situation
　　　　39.3.3 Trends
　　39.4 Question & keypoints
　　　　39.4.1 Questions and Problems
　　　　39.4.2 Development keypoints
　　39.5 Case analysis
　　　　39.5.1 TOP Case
　　　　39.5.2 INNOVATOR Case
40 Blog
　　40.1 Market data
　　　　40.1.1 Degree of Industry Concentration
　　　　40.1.2 Arrival rate of Netizens
　　　　40.1.3 Arrival size of Netizens
　　40.2 Data analysis & data mining
　　40.3 Market situation & trends
　　　　40.3.1 Market size
　　　　40.3.2 Situation
　　　　40.3.3 Trends
　　40.4 Question & keypoints
　　　　40.4.1 Questions and Problems
　　　　40.4.2 Development keypoints
　　40.5 Case analysis
　　　　40.5.1 TOP Case
　　　　40.5.2 INNOVATOR Case
41 SMS
　　41.1 Market data
　　　　41.1.1 Degree of Industry Concentration
　　　　41.1.2 Arrival rate of Netizens
　　　　41.1.3 Arrival size of Netizens
　　41.2 Data analysis & data mining
　　41.3 Market situation & trends
　　　　41.3.1 Market size
　　　　41.3.2 Situation
　　　　41.3.3 Trends
　　41.4 Question & keypoints
　　　　41.4.1 Questions and Problems
　　　　41.4.2 Development keypoints
　　41.5 Case analysis
　　　　41.5.1 TOP Case
　　　　41.5.2 INNOVATOR Case
42 MMS
　　42.1 Market data
　　　　42.1.1 Degree of Industry Concentration
　　　　42.1.2 Arrival rate of Netizens
　　　　42.1.3 Arrival size of Netizens
　　42.2 Data analysis & data mining
　　42.3 Market situation & trends
　　　　42.3.1 Market size
　　　　42.3.2 Situation
　　　　42.3.3 Trends
　　42.4 Question & keypoints
　　　　42.4.1 Questions and Problems
　　　　42.4.2 Development keypoints
　　42.5 Case analysis
　　　　42.5.1 TOP Case
　　　　42.5.2 INNOVATOR Case
43 WAP
　　43.1 Market data
　　　　43.1.1 Degree of Industry Concentration
　　　　43.1.2 Arrival rate of Netizens
　　　　43.1.3 Arrival size of Netizens
　　43.2 Data analysis & data mining
　　43.3 Market situation & trends
　　　　43.3.1 Market size
　　　　43.3.2 Situation
　　　　43.3.3 Trends
　　43.4 Question & keypoints
　　　　43.4.1Questions and Problems
　　　　43.4.2 Development keypoints
　　43.5 Case analysis
　　　　43.5.1 TOP Case
　　　　43.5.2 INNOVATOR Case
44 CRBT
　　44.1 Market data
　　　　44.1.1 Degree of Industry Concentration
　　　　44.1.2 Arrival rate of Netizens
　　　　44.1.3 Arrival size of Netizens
　　44.2 Data analysis & data mining
　　44.3 Market situation & trends
　　　　44.3.1 Market size
　　　　44.3.2 Situation
　　　　44.3.3 Trends
　　44.4 Question & keypoints
　　　　44.4.1 Questions and Problems
　　　　44.4.2 Development keypoints
　　44.5 Case analysis
　　　　44.5.1 TOP Case
　　　　44.5.2 INNOVATOR Case
45 IVR
　　45.1 Market data
　　　　45.1.1 Degree of Industry Concentration
　　　　45.1.2 Arrival rate of Netizens
　　　　45.1.3 Arrival size of Netizens
　　45.2 Data analysis & data mining
　　45.3 Market situation & trends
　　　　45.3.1 Market size
　　　　45.3.2 Situation
　　　　45.3.3 Trends
　　45.4 Question & keypoints
　　　　45.4.1 Questions and Problems
　　　　45.4.2 Development keypoints
　　45.5 Case analysis
　　　　45.5.1 TOP Case
　　　　45.5.2 INNOVATOR Case
46 Mobile Games
　　46.1 Market data
　　　　46.1.1 Degree of Industry Concentration
　　　　46.1.2 Arrival rate of Netizens
　　　　46.1.3 Arrival size of Netizens
　　46.2 Data analysis & data mining
　　46.3 Market situation & trends
　　　　46.3.1 Market size
　　　　46.3.2 Situation
　　　　46.3.3 trends
　　46.4 Question & keypoints
　　　　46.4.1 Questions and Problems
　　　　46.4.2 Development keypoints
　　46.5 Case analysis
　　　　46.5.1 TOP Case
　　　　46.5.2 INNOVATOR Case
47 Domain Service
　　47.1 Market data
　　　　47.1.1 Degree of Industry Concentration
　　　　47.1.2 Arrival rate of Netizens
　　　　47.1.3 Arrival size of Netizens
　　47.2 Data analysis & data mining
　　47.3 Market situation & trends
　　　　47.3.1 Market size
　　　　47.3.2 Situation
　　　　47.3.3 Trends
　　47.4 Question & keypoints
　　　　47.4.1 Questions and Problems
　　　　47.4.2 Development keypoints
　　47.5 Case analysis
　　　　47.5.1 TOP Case
　　　　47.5.2 INNOVATOR Case
48 Internet Access Service
　　48.1 Market data
　　　　48.1.1 Degree of Industry Concentration
　　　　48.1.2 Arrival rate of Netizens
　　　　48.1.3 Arrival size of Netizens
　　48.2 Data analysis & data mining
　　48.3 Market situation & trends
　　　　48.3.1 Market size
　　　　48.3.2 Situation
　　　　48.3.3 Trends
　　48.4 Question & keypoints
　　　　48.4.1 Questions and Problems
　　　　48.4.2 Development keypoints
　　48.5 Case analysis
　　　　48.5.1 TOP Case
　　　　48.5.2 INNOVATOR Case
49 Internet Security Product Service
　　49.1 Market data
　　　　49.1.1 Degree of Industry Concentration
　　　　49.1.2 Arrival rate of Netizens
　　　　49.1.3 Arrival size of Netizens
　　49.2 Data analysis & data mining
　　49.3 Market situation & trends
　　　　49.3.1 Market size
　　　　49.3.2 Situation
　　　　49.3.3 Trends
　　49.4 Question & keypoints
　　　　49.4.1 Questions and Problems
　　　　49.4.2 Development keypoints
　　49.5 Case analysis
　　　　49.5.1 TOP Case
　　　　49.5.2 INNOVATOR Case
50 IP Phone
　　50.1 Market data
　　　　50.1.1 Degree of Industry Concentration
　　　　50.1.2 Arrival rate of Netizens
　　　　50.1.3 Arrival size of Netizens
　　50.2 Data analysis & data mining
　　50.3 Market situation & trends
　　　　50.3.1 Market size
　　　　50.3.2 Situation
　　　　50.3.3 Trends
　　50.4 Question & keypoints
　　　　50.4.1 Questions and Problems
　　　　50.4.2 Development keypoints
　　50.5 Case analysis
　　　　50.5.1 TOP Case
　　　　50.5.2 INNOVATOR Case
VI Conclusion
Graph Index
Report Introduction
　　Graph 1：Distribution of Sample Regions
　　Graph 2：Distribution of Sample Ages
　　Graph 3：Distribution of Sample Education
　　Graph 4：Distribution of Sample industries
　　Graph 5：Distribution of Sample Posts
　　Graph 6：Distribution of Sample Salaries
　　Graph 7：Distribution of Sample Internet Personal Consumption
　　Graph 8：Distribution of Sample mobile bills
　　Graph 9：Distribution of Sample wireless value added service fees
1 Portals
　　Graph1-1：Rank of the portals
　　Graph1-2：Distribution of frequently used portals by netizens of different ages
　　Graph1-3：Distribution of frequently used portals by netizens of different Education
　　Graph1-4：Distribution of frequently used portals by netizens in different industries
　　Graph1-5：Distribution of frequently used portals by netizens of different posts
　　Graph1-6：Distribution of frequently used portals by netizens of different salaries
　　Graph1-7：Distribution of frequently used portals by netizens of different internet consumption
　　Graph1-8：Distribution of frequently used portals by netizens of different mobile bills
　　Graph1-9：Distribution of frequently used portals by netizens of wireless value added service fees
　　Graph1-10：Distribution of frequently used portals by netizens of different areas
　　Graph1-11：Distribution of frequently used Instant Messengers by Portal users
　　Graph1-12：Distribution of frequently used Email Services by Portal users
　　Graph1-13：Distribution of frequently used Online recruiting by Portal users
　　Graph1-14：Distribution of frequently used Localization comprehensive information websites by Portal users
　　Graph1-15：Distribution of frequently used Online recruiting by Portal users
　　Graph1-16：Distribution of frequently used Online friends making by Portal users
　　Graph1-17：Distribution of frequently used online community by Portal users
　　Graph1-18：Distribution of frequently used Online music by Portal users
　　Graph1-19：Distribution of frequently used Music search engines by Portal users
　　Graph1-20：Distribution of frequently used online movies by Portal users
　　Graph1-21：Distribution of frequently used Online entertainment websites by Portal users
　　Graph1-22：Distribution of frequently used Online sports websites by Portal users
　　Graph1-23：Distribution of frequently used online advertisement alliances service by Portal users
　　Graph1-24：Distribution of frequently used Online map service by Portal users
　　Graph1-25：Distribution of frequently used Blog websites by Portal users
　　Graph1-26：Distribution of frequently used SMS service providers by Portal users
　　Graph1-27：Distribution of frequently used MMS service providers by Portal users
　　Graph1-28：Distribution of frequently used WAP websites by Portal users
　　Graph1-29：Distribution of frequently used CRBT service providers by Portal users
　　Graph1-30：Distribution of frequently used IVR service providers by Portal users
2 Search engines
　　Graph2-1：Rank of the search engines
　　Graph2-2：Distribution of frequently used search engines by netizens of different ages
　　Graph2-3：Distribution of frequently used search engines by netizens of different Education
　　Graph2-4：Distribution of frequently used search engines by netizens in different industries
　　Graph2-5：Distribution of frequently used search engines by netizens of different posts
　　Graph2-6：Distribution of frequently used search engines by netizens of different salaries
　　Graph2-7：Distribution of frequently used search engines by netizens of different internet consumption
　　Graph2-8：Distribution of frequently used search engines by netizens of different mobile bills
　　Graph2-9：Distribution of frequently used search engines by netizens of wireless value added service fees
　　Graph2-10：Distribution of frequently used search engines by netizens of different areas
　　Graph2-11：Distribution of frequently used instant messengers by search engines users
　　Graph2-12：Distribution of frequently used Email Services by search engines users
　　Graph2-13：Distribution of frequently used Online map by search engines users
　　Graph2-14：Distribution of frequently used Online movies websites by search engines users
　　Graph2-15：Distribution of frequently used Online yellow pages websites by search engines users
　　Graph2-16：Distribution of frequently used websites navigation by search engines users
　　Graph2-17：Distribution of frequently used Online news websites by search engines users
　　Graph2-18：Distribution of frequently used Music search engines by search engines users
　　Graph2-19：Distribution of frequently used WAP websites by search engines users
　　Graph2-20：Distribution of frequently used MMS providers by search engines users
　　Graph2-21：Distribution of frequently used CRBT providers by search engines users
3 Intant messengers
　　Graph3-1：Rank of the intant messengers
　　Graph3-2：Distribution of frequently used intant messengers by netizens of different ages
　　Graph3-3：Distribution of frequently used intant messengers by netizens of different Education
　　Graph3-4：Distribution of frequently used intant messengers by netizens in different industries
　　Graph3-5：Distribution of frequently used intant messengers by netizens of different posts
　　Graph3-6：Distribution of frequently used intant messengers by netizens of different salaries
　　Graph3-7：Distribution of frequently used intant messengers by netizens of different internet consumption
　　Graph3-8：Distribution of frequently used intant messengers by netizens of different mobile bills
　　Graph3-9：Distribution of frequently used intant messengers by netizens of wireless value added service fees
　　Graph3-10：Distribution of frequently used intant messengers by netizens of different areas
　　Graph3-11：Distribution of frequently used portal users by instant messenger users
　　Graph3-12：Distribution of frequently used search engines by instant messenger users
　　Graph3-13：Distribution of frequently used Email Services by instant messenger users
　　Graph3-14：Distribution of frequently used online news websites by instant messenger users
　　Graph3-15：Distribution of frequently used C2C electronic commerce websites by instant messenger users
　　Graph3-16：Distribution of frequently used B2C electronic commerce websites by instant messenger users
　　Graph3-17：Distribution of frequently used B2B electronic commerce websites by instant messenger users
　　Graph3-18：Distribution of frequently used online community websites by instant messenger users
　　Graph3-19：Distribution of frequently used online game informations websites by instant messenger users
　　Graph3-20：Distribution of frequently used online game operators by instant messenger users
　　Graph3-21：Distribution of frequently used Online cartoons by instant messenger users
　　Graph3-22：Distribution of frequently used Blog websites by instant messenger users
　　Graph3-23：Distribution of frequently used WAP websites by instant messenger users
　　Graph3-24：Distribution of frequently used Mobile game services by instant messenger users
　　Graph3-25：Distribution of frequently used IP phone services by instant messenger users
4 Email services
　　Graph4-1：Rank of the email services
　　Graph4-2：Distribution of frequently used email services by netizens of different ages
　　Graph4-3：Distribution of frequently used email services by netizens of different Education
　　Graph4-4：Distribution of frequently used email services by netizens in different industries
　　Graph4-5：Distribution of frequently used email services by netizens of different posts
　　Graph4-6：Distribution of frequently used email services by netizens of different salaries
　　Graph4-7：Distribution of frequently used email services by netizens of different internet consumption
　　Graph4-8：Distribution of frequently used email services by netizens of different mobile bills
　　Graph4-9：Distribution of frequently used email services by netizens of wireless value added service fees
　　Graph4-10：Distribution of frequently used email services by netizens of different areas
　　Graph4-11：Distribution of frequently used IP phone by email services users
5 Online news websites
　　Graph5-1：Rank of the online news websites
　　Graph5-2：Distribution of frequently used online news websites by netizens of different ages
　　Graph5-3：Distribution of frequently used online news websites by netizens of different Education
　　Graph5-4：Distribution of frequently used online news websites by netizens in different industries
　　Graph5-5：Distribution of frequently used online news websites by netizens of different posts
　　Graph5-6：Distribution of frequently used online news websites by netizens of different salaries
　　Graph5-7：Distribution of frequently used online news websites by netizens of different internet consumption
　　Graph5-8：Distribution of frequently used online news websites by netizens of different mobile bills
　　Graph5-9：Distribution of frequently used online news websites by netizens of wireless value added service fees
　　Graph5-10：Distribution of frequently used online news websites by netizens of different areas
6 Localization comprehensive information websites
　　Graph6-1：Rank of the Localization comprehensive information websites
　　Graph6-2：Distribution of frequently used Localization comprehensive information websites by netizens of different ages
　　Graph6-3：Distribution of frequently used Localization comprehensive information websites by netizens of different Education
　　Graph6-4：Distribution of frequently used Localization comprehensive information websites by netizens in different industries
　　Graph4-5：Distribution of frequently used Localization comprehensive information websites by netizens of different posts
　　Graph6-6：Distribution of frequently used Localization comprehensive information websites by netizens of different salaries
　　Graph6-7：Distribution of frequently used Localization comprehensive information websites by netizens of different internet
consumption
　　Graph6-8：Distribution of frequently used Localization comprehensive information websites by netizens of different mobile bills
　　Graph6-9：Distribution of frequently used Localization comprehensive information websites by netizens of wireless value added
service fees
　　Graph6-10：Distribution of frequently used Localization comprehensive information websites by netizens of different areas
　　Graph6-11：Distribution of frequently used C2C electronic commerce websites by netizens of different areas
　　Graph6-12：Distribution of frequently used B2C electronic commerce websites by netizens of different areas
　　Graph6-13：Distribution of frequently used B2B electronic commerce websites by netizens of different areas
7 Finance websites
　　Graph7-1：Rank of the finance websites
　　Graph7-2：Distribution of frequently used finance websites by netizens of different ages
　　Graph7-3：Distribution of frequently used finance websites by netizens of different Education
　　Graph7-4：Distribution of frequently used finance websites by netizens in different industries
　　Graph7-5：Distribution of frequently used finance websites by netizens of different posts
　　Graph7-6：Distribution of frequently used finance websites by netizens of different salaries
　　Graph7-7：Distribution of frequently used finance websites by netizens of different internet consumption
　　Graph7-8：Distribution of frequently used finance websites by netizens of different mobile bills
　　Graph7-9：Distribution of frequently used finance websites by netizens of wireless value added service fees
　　Graph7-10：Distribution of frequently used finance websites by netizens of different areas
　　Graph7-11：Distribution of frequently used Blog websites by finance websites users
8 Auto websites
　　Graph8-1：Rank of the auto websites
　　Graph8-2：Distribution of frequently used auto websites by netizens of different ages
　　Graph8-3：Distribution of frequently used auto websites by netizens of different Education
　　Graph8-4：Distribution of frequently used auto websites by netizens in different industries
　　Graph8-5：Distribution of frequently used auto websites by netizens of different posts
　　Graph8-6：Distribution of frequently used auto websites by netizens of different salaries
　　Graph8-7：Distribution of frequently used auto websites by netizens of different internet consumption
　　Graph8-8：Distribution of frequently used auto websites by netizens of different mobile bills
　　Graph8-9：Distribution of frequently used auto websites by netizens of wireless value added service fees
　　Graph8-10：Distribution of frequently used auto websites by netizens of different areas
　　Graph8-11：Distribution of frequently used Online community by auto websites users
　　Graph8-12：Distribution of frequently used Blog websites by auto websites users
9 Real estate websites
　　Graph9-1：Rank of the real estate websites
　　Graph9-2：Distribution of frequently used real estate websites by netizens of different ages
　　Graph9-3：Distribution of frequently used real estate websites by netizens of different Education
　　Graph9-4：Distribution of frequently used real estate websites by netizens in different industries
　　Graph9-5：Distribution of frequently used real estate websites by netizens of different posts
　　Graph9-6：Distribution of frequently used real estate websites by netizens of different salaries
　　Graph9-7：Distribution of frequently used real estate websites by netizens of different internet consumption
　　Graph9-8：Distribution of frequently used real estate websites by netizens of different mobile bills
　　Graph9-9：Distribution of frequently used real estate websites by netizens of wireless value added service fees
　　Graph9-10：Distribution of frequently used real estate websites by netizens of different areas
　　Graph9-11：Distribution of frequently used Online community websites by real estate websites users
　　Graph9-12：Distribution of frequently used Blog websites by real estate websites users
10 Online traveling reservations websites
　　Graph10-1：Rank of the online traveling researvations websites
　　Graph10-2：Distribution of frequently used online traveling researvations websites by netizens of different ages
　　Graph10-3：Distribution of frequently used online traveling researvations websites by netizens of different Education
　　Graph10-4：Distribution of frequently used online traveling researvations websites by netizens in different industries
　　Graph10-5：Distribution of frequently used online traveling researvations websites by netizens of different posts
　　Graph10-6：Distribution of frequently used online traveling researvations websites by netizens of different salaries
　　Graph10-7：Distribution of frequently used online traveling researvations websites by netizens of different internet consumption
　　Graph10-8：Distribution of frequently used online traveling researvations websites by netizens of different mobile bills
　　Graph10-9：Distribution of frequently used online traveling researvations websites by netizens of wireless value added service
fees
　　Graph10-10：Distribution of frequently used online traveling researvations websites by netizens of different areas
11 Information technology websites
　　Graph11-1：Rank of the information technology websites
　　Graph11-2：Distribution of frequently used information technology websites by netizens of different ages
　　Graph11-3：Distribution of frequently used information technology websites by netizens of different Education
　　Graph11-4：Distribution of frequently used information technology websites by netizens in different industries
　　Graph11-5：Distribution of frequently used information technology websites by netizens of different posts
　　Graph11-6：Distribution of frequently used information technology websites by netizens of different salaries
　　Graph11-7：Distribution of frequently used information technology websites by netizens of different internet consumption
　　Graph11-8：Distribution of frequently used information technology websites by netizens of different mobile bills
　　Graph11-9：Distribution of frequently used information technology websites by netizens of wireless value added service fees
　　Graph11-10：Distribution of frequently used information technology websites by netizens of different areas
　　Graph11-11：Distribution of frequently used C2C electronic commerce websites by IT websites users
　　Graph11-12：Distribution of frequently used B2C electronic commerce websites by IT websites users
　　Graph11-13：Distribution of frequently used B2B electronic commerce websites by IT websites users
12 C2C electronic commerce
　　Graph12-1：Rank of the C2C electronic commerce
　　Graph12-2：Distribution of frequently used C2C electronic commerce by netizens of different ages
　　Graph12-3：Distribution of frequently used C2C electronic commerce by netizens of different Education
　　Graph12-4：Distribution of frequently used C2C electronic commerce by netizens in different industries
　　Graph12-5：Distribution of frequently used C2C electronic commerce by netizens of different posts
　　Graph12-6：Distribution of frequently used C2C electronic commerce by netizens of different salaries
　　Graph12-7：Distribution of frequently used C2C electronic commerce by netizens of different internet consumption
　　Graph12-8：Distribution of frequently used C2C electronic commerce by netizens of different mobile bills
　　Graph12-9：Distribution of frequently used C2C electronic commerce by netizens of wireless value added service fees
　　Graph12-10：Distribution of frequently used C2C electronic commerce by netizens of different areas
　　Graph12-11：Distribution of frequently used Instant Messengers software by C2C websites users
　　Graph12-12：Distribution of frequently used Online community websites by C2C websites users
　　Graph12-13：Distribution of frequently used Blog websites by C2C websites users
　　Graph12-14：Distribution of frequently used IP phone services by C2C websites users
13 B2C electronic commerce
　　Graph13-1：Rank of the B2C electronic commerce
　　Graph13-2：Distribution of frequently used B2C electronic commerce by netizens of different ages
　　Graph13-3：Distribution of frequently used B2C electronic commerce by netizens of different Education
　　Graph13-4：Distribution of frequently used B2C electronic commerce by netizens in different industries
　　Graph13-5：Distribution of frequently used B2C electronic commerce by netizens of different posts
　　Graph13-6：Distribution of frequently used B2C electronic commerce by netizens of different salaries
　　Graph13-7：Distribution of frequently used B2C electronic commerce by netizens of different internet consumption
　　Graph13-8：Distribution of frequently used B2C electronic commerce by netizens of different mobile bills
　　Graph13-9：Distribution of frequently used online B2C electronic commerce by netizens of wireless value added service fees
　　Graph13-10：Distribution of frequently used online B2C electronic commerce by netizens of different areas
　　Graph13-11：Distribution of frequently used Instant Messengers software by C2C websites users
　　Graph13-12：Distribution of frequently used Online community websites by C2C websites users
　　Graph13-13：Distribution of frequently used Blog websites by C2C websites users
　　Graph13-14：Distribution of frequently used IP phone services by C2C websites users
14 B2B electronic commerce
　　Graph14-1：Rank of the B2B electronic commerce
　　Graph14-2：Distribution of frequently used B2B electronic commerce by netizens of different ages
　　Graph14-3：Distribution of frequently used B2B electronic commerce by netizens of different Education
　　Graph14-4：Distribution of frequently used B2B electronic commerce by netizens in different industries
　　Graph14-5：Distribution of frequently used B2B electronic commerce by netizens of different posts
　　Graph14-6：Distribution of frequently used B2B electronic commerce by netizens of different salaries
　　Graph14-7：Distribution of frequently used B2B electronic commerce by netizens of different internet consumption
　　Graph14-8：Distribution of frequently used B2B electronic commerce by netizens of different mobile bills
　　Graph14-9：Distribution of frequently used B2B electronic commerce by netizens of wireless value added service fees
　　Graph14-10：Distribution of frequently used B2B electronic commerce by netizens of different areas
　　Graph14-11：Distribution of frequently used Instant Messengers software by B2B websites users
　　Graph14-12：Distribution of frequently used Online community websites by B2C websites users
　　Graph14-13：Distribution of frequently used Blog websites by B2C websites users
　　Graph14-14：Distribution of frequently used IP phone services by B2C websites users
15 Online banking
　　Graph14-1：Rank of the online banking
　　Graph14-2：Distribution of frequently used online banking by netizens of different ages
　　Graph14-3：Distribution of frequently used online banking by netizens of different Education
　　Graph14-4：Distribution of frequently used online banking by netizens in different industries
　　Graph14-5：Distribution of frequently used online banking by netizens of different posts
　　Graph14-6：Distribution of frequently used online banking by netizens of different salaries
　　Graph14-7：Distribution of frequently used online banking by netizens of different internet consumption
　　Graph14-8：Distribution of frequently used online banking by netizens of different mobile bills
　　Graph14-9：Distribution of frequently used online banking by netizens of wireless value added service fees
　　Graph14-10：Distribution of frequently used online banking by netizens of different areas
　　Graph15-11：Distribution of frequently used online banking by C2C electronic commerce websites users
　　Graph15-12：Distribution of frequently used online banking by B2C electronic commerce websites users
　　Graph15-13：Distribution of frequently used online banking by B2B electronic commerce websites users
16 Electronic payment
　　Graph16-1：Rank of the online Electronic payments
　　Graph16-2：Distribution of frequently used Electronic payments by netizens of different ages
　　Graph16-3：Distribution of frequently used Electronic payments by netizens of different Education
　　Graph16-4：Distribution of frequently used Electronic payments by netizens in different industries
　　Graph16-5：Distribution of frequently used Electronic payments by netizens of different posts
　　Graph14-6：Distribution of frequently used Electronic payments by netizens of different salaries
　　Graph16-7：Distribution of frequently used Electronic payments by netizens of different internet consumption
　　Graph16-8：Distribution of frequently used Electronic payments by netizens of different mobile bills
　　Graph16-9：Distribution of frequently used Electronic payments by netizens of wireless value added service fees
　　Graph16-10：Distribution of frequently used Electronic payments by netizens of different areas
　　Graph16-11：Distribution of frequently used Electronic payments by C2C electronic commerce websites users
　　Graph16-12：Distribution of frequently used Electronic payments by B2C electronic commerce websites users
　　Graph16-13：Distribution of frequently used Electronic payments by B2B electronic commerce websites users
17 Online recruiting
　　Graph17-1：Rank of the online recruiting
　　Graph17-2：Distribution of frequently used online recruiting by netizens of different ages
　　Graph17-3：Distribution of frequently used online recruiting by netizens of different Education
　　Graph17-4：Distribution of frequently used online recruiting by netizens in different industries
　　Graph17-5：Distribution of frequently used online recruiting by netizens of different posts
　　Graph17-6：Distribution of frequently used online recruiting by netizens of different salaries
　　Graph17-7：Distribution of frequently used online recruiting by netizens of different internet consumption
　　Graph17-8：Distribution of frequently used online recruiting by netizens of different mobile bills
　　Graph17-9：Distribution of frequently used online recruiting by netizens of wireless value added service fees
　　Graph17-10：Distribution of frequently used online recruiting by netizens of different areas
　　Graph17-11：Distribution of frequently used Blog services by Online recruiting websites users
18 Social network
　　Graph18-1：Rank of the online friends making websites
　　Graph18-2：Distribution of frequently used social network websites by netizens of different ages
　　Graph18-3：Distribution of frequently used social network websites by netizens of different Education
　　Graph18-4：Distribution of frequently used social network websites by netizens in different industries
　　Graph18-5：Distribution of frequently used social network websites by netizens of different posts
　　Graph18-6：Distribution of frequently used social network websites by netizens of different salaries
　　Graph18-7：Distribution of frequently used social network websites by netizens of different internet consumption
　　Graph18-8：Distribution of frequently used social network websites by netizens of different mobile bills
　　Graph18-9：Distribution of frequently used social network websites by netizens of wireless value added service fees
　　Graph18-10：Distribution of frequently used o social network websites by netizens of different areas
　　Graph18-11：Distribution of frequently used Blog websites by social network users
19 Online communities
　　Graph19-1：Rank of the online communities
　　Graph19-2：Distribution of frequently used online communities by netizens of different ages
　　Graph19-3：Distribution of frequently used online communities by netizens of different Education
　　Graph19-4：Distribution of frequently used online communities by netizens in different industries
　　Graph19-5：Distribution of frequently used online communities by netizens of different posts
　　Graph19-6：Distribution of frequently used online communities by netizens of different salaries
　　Graph19-7：Distribution of frequently used online communities by netizens of different internet consumption
　　Graph19-8：Distribution of frequently used online communities by netizens of different mobile bills
　　Graph19-9：Distribution of frequently used online communities by netizens of wireless value added service fees
　　Graph19-10：Distribution of frequently used online communities by netizens of different areas
20 Online game informations websites
　　Graph20-1：Rank of the online game informations websites
　　Graph20-2：Distribution of frequently used online game informations websites by netizens of different ages
　　Graph20-3：Distribution of frequently used online game informations websites by netizens of different Education
　　Graph20-4：Distribution of frequently used online game informations websites by netizens in different industries
　　Graph20-5：Distribution of frequently used online game informations websites by netizens of different posts
　　Graph20-6：Distribution of frequently used online game informations websites by netizens of different salaries
　　Graph20-7：Distribution of frequently used online game informations websites by netizens of different internet consumption
　　Graph20-8：Distribution of frequently used online game informations websites by netizens of different mobile bills
　　Graph20-9：Distribution of frequently used online game informations websites by netizens of wireless value added service fees
　　Graph20-10：Distribution of frequently used online game informations websites by netizens of different areas
　　Graph20-11：Distribution of frequently used Online community by Online game informations websites users
21Online game operators
　　Graph21-1：Rank of the online game operators
　　Graph21-2：Distribution of frequently used online game operators by netizens of different ages
　　Graph21-3：Distribution of frequently used online game operators by netizens of different Education
　　Graph21-4：Distribution of frequently used online game operators by netizens in different industries
　　Graph21-5：Distribution of frequently used online game operators by netizens of different posts
　　Graph21-6：Distribution of frequently used online game operators by netizens of different salaries
　　Graph21-7：Distribution of frequently used online game operators by netizens of different internet consumption
　　Graph21-8：Distribution of frequently used online game operators by netizens of different mobile bills
　　Graph21-9：Distribution of frequently used online game operators by netizens of wireless value added service fees
　　Graph21-10：Distribution of frequently used online game operators by netizens of different areas
　　Graph21-11：Distribution of frequently used Online game informations websites by Online game users
22 Online cartoons
　　Graph22-1：Rank of the online cartoons
　　Graph22-2：Distribution of frequently used online cartoons by netizens of different ages
　　Graph22-3：Distribution of frequently used online cartoons by netizens of different Education
　　Graph22-4：Distribution of frequently used online cartoons by netizens in different industries
　　Graph22-5：Distribution of frequently used online cartoons by netizens of different posts
　　Graph22-6：Distribution of frequently used online cartoons by netizens of different salaries
　　Graph22-7：Distribution of frequently used online cartoons by netizens of different internet consumption
　　Graph22-8：Distribution of frequently used online cartoons by netizens of different mobile bills
　　Graph22-9：Distribution of frequently used online cartoons by netizens of wireless value added service fees
　　Graph22-10：Distribution of frequently used online cartoons by netizens of different areas
　　Graph22-11：Distribution of frequently used Online community by Online cartoon users
23 Online music
　　Graph23-1：Rank of the online music
　　Graph23-2：Distribution of frequently used online music by netizens of different ages
　　Graph23-3：Distribution of frequently used online music by netizens of different Education
　　Graph23-4：Distribution of frequently used online music by netizens in different industries
　　Graph23-5：Distribution of frequently used online music by netizens of different posts
　　Graph23-6：Distribution of frequently used online music by netizens of different salaries
　　Graph23-7：Distribution of frequently used online music by netizens of different internet consumption
　　Graph23-8：Distribution of frequently used online music by netizens of different mobile bills
　　Graph23-9：Distribution of frequently used online music by netizens of wireless value added service fees
　　Graph23-10：Distribution of frequently used online music by netizens of different areas
　　Graph23-11：Distribution of frequently used MMS service providers by online music websites users
　　Graph23-12：Distribution of frequently used WAP by online music websites users
　　Graph23-13：Distribution of frequently used CRBT service providers by online music websites users
　　Graph23-14：Distribution of frequently used IVR service providers by online music websites users
24 Music search engines
　　Graph24-1：Rank of the music search engines
　　Graph24-2：Distribution of frequently used music search engines by netizens of different ages
　　Graph24-3：Distribution of frequently used music search engines by netizens of different Education
　　Graph24-4：Distribution of frequently used music search engines by netizens in different industries
　　Graph24-5：Distribution of frequently used music search engines by netizens of different posts
　　Graph24-6：Distribution of frequently used music search engines by netizens of different salaries
　　Graph24-7：Distribution of frequently used music search engines by netizens of different internet consumption
　　Graph24-8：Distribution of frequently used music search engines by netizens of different mobile bills
　　Graph24-9：Distribution of frequently used music search engines by netizens of wireless value added service fees
　　Graph24-10：Distribution of frequently used music search engines by netizens of different areas
　　Graph24-11：Distribution of frequently used MMS service providers by music search engines users
　　Graph24-12：Distribution of frequently used WAP by music search engines users
　　Graph24-13：Distribution of frequently used CRBT service providers by music search engines users
　　Graph24-14：Distribution of frequently used IVR service providers by music search engines users
25 Online showbiz
　　Graph25-1：Rank of the online movies websites
　　Graph25-2：Distribution of frequently used online showbiz websites by netizens of different ages
　　Graph25-3：Distribution of frequently used online showbiz websites by netizens of different Education
　　Graph25-4：Distribution of frequently used online showbiz websites by netizens in different industries
　　Graph25-5：Distribution of frequently used online showbiz z websites by netizens of different posts
　　Graph25-6：Distribution of frequently used online showbiz websites by netizens of different salaries
　　Graph25-7：Distribution of frequently used online showbiz websites by netizens of different internet consumption
　　Graph25-8：Distribution of frequently used online showbiz websites by netizens of different mobile bills
　　Graph25-9：Distribution of frequently used online showbiz websites by netizens of wireless value added service fees
　　Graph25-10：Distribution of frequently used online showbiz websites by netizens of different areas
　　Graph25-11：Distribution of frequently used Electronic payment services by Online showbiz websites users
26 Online women websites
　　Graph26-1：Rank of the online women websites
　　Graph26-2：Distribution of frequently used online women websites by netizens of different ages
　　Graph26-3：Distribution of frequently used online women websites by netizens of different Education
　　Graph26-4：Distribution of frequently used online women websites by netizens in different industries
　　Graph26-5：Distribution of frequently used online women websites by netizens of different posts
　　Graph26-6：Distribution of frequently used online women websites by netizens of different salaries
　　Graph26-7：Distribution of frequently used online women websites by netizens of different internet consumption
　　Graph26-8：Distribution of frequently used online women websites by netizens of different mobile bills
　　Graph26-9：Distribution of frequently used online women websites by netizens of wireless value added service fees
　　Graph26-10：Distribution of frequently used online women websites by netizens of different areas
27 Online health websites
　　Graph27-1：Rank of the online health websites
　　Graph27-2：Distribution of frequently used online health websites by netizens of different ages
　　Graph27-3：Distribution of frequently used online health websites by netizens of different Education
　　Graph27-4：Distribution of frequently used online health websites by netizens in different industries
　　Graph27-5：Distribution of frequently used online health websites by netizens of different posts
　　Graph27-6：Distribution of frequently used online health websites by netizens of different salaries
　　Graph27-7：Distribution of frequently used online health websites by netizens of different internet consumption
　　Graph27-8：Distribution of frequently used online health websites by netizens of different mobile bills
　　Graph27-9：Distribution of frequently used online health websites by netizens of wireless value added service fees
　　Graph27-10：Distribution of frequently used online health websites by netizens of different areas
28 Online educations
　　Graph28-1：Rank of the online education websites
　　Graph28-2：Distribution of frequently used online education websites by netizens of different ages
　　Graph28-3：Distribution of frequently used online education websites by netizens of different Education
　　Graph28-4：Distribution of frequently used online education websites by netizens in different industries
　　Graph28-5：Distribution of frequently used online education websites by netizens of different posts
　　Graph28-6：Distribution of frequently used online education websites by netizens of different salaries
　　Graph28-7：Distribution of frequently used online education websites by netizens of different internet consumption
　　Graph28-8：Distribution of frequently used online education websites by netizens of different mobile bills
　　Graph28-9：Distribution of frequently used online education websites by netizens of wireless value added service fees
　　Graph28-10：Distribution of frequently used online education websites by netizens of different areas
29 Online entertainments
　　Graph29-1：Rank of the online entertainments websites
　　Graph29-2：Distribution of frequently used online entertainments websites by netizens of different ages
　　Graph29-3：Distribution of frequently used online entertainments websites by netizens of different Education
　　Graph29-4：Distribution of frequently used online entertainments websites by netizens in different industries
　　Graph29-5：Distribution of frequently used online entertainments websites by netizens of different posts
　　Graph29-6：Distribution of frequently used online entertainments websites by netizens of different salaries
　　Graph29-7：Distribution of frequently used online entertainments websites by netizens of different internet consumption
　　Graph29-8：Distribution of frequently used online entertainments websites by netizens of different mobile bills
　　Graph29-9：Distribution of frequently used online entertainments websites by netizens of wireless value added service fees
　　Graph29-10：