Research On Users' Information Transfer Behavior In Topic Social Community Based On Information Ecology Perspective

The development of the web1.0 to web2.0,and then to the web3.0 era,the new network paradigm shift has brought tremendous industry and business model changes.Nowadays,the Internet is in the transition period from the web2.0 era to the Web3.0 era.Users can post content online,and communicate and discuss a certain topic on the network,triggering changes in user relations,social networks,sharing economy,and data concentration.The essence of the web2.0 era is interaction,including the interaction between users,information,and platforms,and the interaction between users.The interaction is based on the # topic # network retrieval model adopted by the current domestic virtual community social network.As a way of organizing information,topics can efficiently and accurately collect and organize information.Under the form of topic organization,the community is more interactive and efficient.This article starts from the special information organization way # topic # of virtual communities,and uses Sina Weibo and Zhihu Social Network as research carriers.Based on the information ecology theory,social network theory,and human behavior dynamics theory,it comprehensively uses social network analysis and statistical analysis.Methods: Research the users' information conversion behavior and information flow behavior mechanism in the virtual community.This research mainly addresses the following issues:(1)how to promote the community user's information transfer behavior;(2)how to improve the community user's activity and influence,and then increase the community's influence;(3)how to build and enrich the community's information ecology.Based on the perspective of information ecology,by studying the social network relationship and statistical characteristics of user information transfer behavior formed by the user information transfer behavior of the social network platform,comparing the information transfer behavior of users in different social communities,the following conclusions are obtained:(1)Knowing the community: In terms of network structure,knowing the topic user relationship network is a "small world" network feature.In the individual network centrality of the user relationship network,the nodes selected by the point centrality and intermediary centrality indicators coincide The degree is higher,and the role of users in the core node position is more diverse;In terms of conversion,the degree of access to information nodes in the community is subject to exponentially truncated power law distribution,and there is a concentration of user information flow activity time.The number of questions answered by users and the time for producing information content are subject to power-law distribution.At the same time,the user group with a certain fan base has an uneven distribution of the number of approvals,which is heterogeneous,and the quality of information conversion is power-law distributed.In terms of mobility,the information in the community will quickly flow outward with the relevant dynamics of the user base with a fan base.This part of the users has a greater role in the flow of community information.At the same time,the members of this group of users have a greater impact on the community information ecology.The contribution of the build is also different.(2)Weibo community: In terms of network structure,the topic user relationship of the community presents a "scale-free" network feature.The nodes selected by the central indicators of individual networks have a high degree of coincidence,and the core nodes have more diverse network roles.The distribution of topic network communities is relatively scattered,and there are a small number of hub node users in the network to form a large number of connections with other users.Weibo topic information lacks deep flow,and the depth of information transfer is limited.In terms of information conversion,users with different positions and different informant roles in the Weibo community have different topic participation levels.The information conversion quality of informants is high,and topic keywords can describe the incident process and user's focus more accurately.The level of information refinement in the Weibo community is not low,but the user's forwarding behavior is relatively low;in terms of information flow,the information life of the Weibo community topic is short,the topic's information production process is concentrated,and the outward flow range is wider.In response to the above conclusions,this paper proposes measures to promote the user information transfer behavior of the virtual community social network platform,improve community user activity and influence,and build and enrich the community's ecology.The stable development of the social community provides opinions and suggestions with universality and practical help.