The Influence Factors Of Collective Intelligence Emergence In Knowledge Communities Based On Social Network Analysis

With the rapid development of the Internet and social media, the environment our lives has been translating from off-line to on-line. There is an increasing probability that Collective Intelligence(CI) would come true. Even though the concept of CI had been come up for hundreds of years, it had experienced a tough way from negation to affirmation. At the same time, Scholars begin to study the new meaning behind the CI nowadays, so that the research has become the focus of the current.Based on this background, we combined the quality and quantity research together, to discover the emergence mechanism and influence factors of CI in knowledge communities. First of all, we summarized the development of the research of CI and Social Network Analysis(SNA). Secondly, we came up with the research frame that integrated the emergence and social maturity into social network dimension as factor variable, and regarded capacity dimension as result variable based on former research. Meanwhile, we measured the community network construction and membership diversity by means of SNA, to explore the relationship between network indexes and CI. Finally, we took “Zhihu” for example to analyze the relationship among the factors in the module and verify the research hypotheses.The result of experiment proved that:(1) The level of connection and cohesion are positive to the capacity of CI;(2) network centrality is negative to the capacity of CI;(3) membership diversity effects the capacity of CI via effecting network centrality, while super member effects the capacity of CI via effecting the level of connection;(4) the number of connection, the average of nodes degree, membership diversity are significantly positive to the CI emergence. Reflecting to the communities, it suggested that to improve the level of inner-behavior among communities’ members, and to increase the membership diversity and independence is the key way to CI emergence in knowledge communities. Last but not least, we modified the research model, and concluded the community network construction which is benefit for the emergence and development of CI. We thought that the diversity and independence of community members effected the formation of this network construction, and revealed the emergence mechanism and influence factors of CI behind. We considered that social factor has two sides. Meanwhile, according to the implement of the result in research verification, we proposed some advices how to promote the level of CI in knowledge communities.