A Research Of The Network Community Information-dissemination Mode On The Basis Of Social Network

The network community, an aggregate of the modern network technique and information dissemination, has become an indispensable part of social information dissemination with the gradual strengthening function of the network community. Base on the review of the studies home and abroad on network community, this thesis studies the network community's information dissemination mechanism by employing the social network analysis, a unique approach to the study of the group's structure in the field of sociology.After a comparative study of the existing influential network communities, the thesis selects Tianya as the research object, and TiaYa ZaTan as data collection edition area, saves data according to predefined data format, and sets up matrices of social networking. 63 individual point network data consisting of 1024 members and 987 members of the overall network data points are selected. Statistical description of the collected data is presented before the members in the whole network are obtained by measuring the density of the network, point centrality, betweenness centrality, closeness centrality and small groups. On the basis of analyzing the network structure of information dissemination in the community, the organizational structure of the network is gained through Ucinet analytical tools of graph theory. Modes of information dissemination existent in the community have been summed up, including single~center mode, multi~center mode, point-to-point mode and broadcast mode, ect. A detailed analysis is made of the mode of information dissemination in the community. Then features are studied in the network community information dissemination, mainly from the information dissemination, the audience, communicators, communication channels and content of communication, and from the communicator, audience ,dissemination of content to analyze the impact factors in the network community.In the end, the thesis makes some related suggestions for the construction of the future network community according to the research findings obtained.