Features Research On Topics And Users In Virtual Community Based On Social Network Analysis

Along with the rapid progress of times,consumers change the role in the supply chain substantially,from value consumers to the creators.More and more consumers post their opinations and experiences related with products in virtual communities(VCs).VC serves as a platform to present the feedbacks and innovation ideas about their products quality,which enable commercial enterprise and industrial firms to improve consumers'experience levels and designs of products via mining the effective information.It comes to that researches on the information in VCs have a profound influence on the learning the value-cocreation with consumers.Gradually,Social Network Analysis(SNA)becomes a practical tool to decode the VCs in this research field.Based on the bid data stream in VC,some type of phone in Pollen Club,this work conducts the research from methodology and case study.In methodology part,sequential determination coefficient is proposed to specify the key time point in the emergence if the topics.Also,generalized degree variance in(un)directed network is established respectively to quantify the interaction difference among the nodes in topics'network and users'network.The Jaccard coefficient is modified to describe the similarity among users.In an illustrative case study,the lifecycle of topics is analyzed with sequential determination coefficient.Then a contrastive discussion between Ordinary User Group,Intermediary User Group and Enterprise User Group in VC is held against complex network models and the importance of topics is ranked.Moreover.based on information in "main posts-replies",users and communities in users'network is analyzed.In the end,"topics-users" multilayer network enriches the study of features in VCResearch outcomes are more in-depth understanding of the complex network theory,which provide a practical angle to mine information in VCs,boost the innovation process in products and improve consumers experience level in a profound way.