Research On Online Topic Participant Relationship Based On Impilict Network Structure

Implicit Networks are formed in the course of people's interaction in their community.Implicit Network is a kind of social network,which plays an important role in the overall dynamics of social networks.The implicit network is based on rich user abundant user information such as product reviews,interactive communications and personal information,which makes it possible to do academic research and business applications.With the developing of Internet technology,the so called online Q&A community has been emerged.The online Q&A community is a subdivision of online communities in the field of knowledge services.Users participate in interactions and promote the formation and development of relationships.The emergence of online Q&A community not only changes the way users find information and obtain social support,but also provides an important platform for innovations in knowledge management.In the online Q&A community,people can discuss about a topic of interest and follow people who have similar.By analyzing Implicit Networks,we can find hidden roles,relationships,and communities between users.How users participate in the online Q&A community,how the implicit network features of the online Q&A community boosts the formation of user relationships has become an urgent question for academic to solve.This paper aims to probe into how the network structure affects the users' relationships of online QA community network from the perspective of the structural and entity properties of Implicit Networks of online Q&A community,respectively.By using certain technical means we collect,extract and analyze the users' implicit relationships.We analyzed the implicit structure characteristics of a certain online Q&A community website,and how the implicit network structure affects people's behavior.And we revealed a new pattern of new model.The focus of this research is to find the implicit network structure of online social networking sites and the implicit relationship between users,and to reveal the main influencing factors of online community relationship formation,and to have great significance for the operation and management of community websites,and to provide suggestions for future research on social media mining.Specifically,first of all,we wrote a python spider program to grab answers,comments and like of a hot topic of Zhihu website.Then,we analyzed the 1083-answers dataset to By applying Social Network Analysis on the dataset,an ERGM model and a social network matrix was built.Based on the theory of social network and the theory of social support,we puts forward our hypothesises.Finally,applying empirical analysis with ERGM model.Our conclusions are:(1)Priority connection is an important influencing factor for the formation of emotional support relationships and information support relationships;(2)when the number of ‘Like' increases,the enthusiasm for relationship building increases in line with the Intrinsic utility;(3)when the number of ‘Like' increases,the enthusiasm for relationship building decreases in line with the Image-related utility.The results of this paper contribute to the overall perception of the distribution of emotional support and information support in the online Q&A community and the ability of users to provide and receive support.In practice,it has certain reference significance for the operation and management of online community websites.