Research On Knowledge Aggregation Model Of Virtual Academic Communities

With the rapid development of digital networks,new changes are taking place in the exchange and use of user knowledge.A "virtual academic community" based on multimedia,cross-system and semantic knowledge is emerging.The rapid development of the Internet and the proliferation of information resources have brought a lot of convenience to the people.The provision of rich information resources also has its drawbacks.Faced with the highly dispersed and chaotic development of knowledge resources,it is necessary to dynamically link the complex and disorderly knowledge resources and effectively integrate them to construct a knowledge resource service system that can satisfy the personalized and intelligent knowledge resource service system of users.The concept of knowledge aggregation came into being.A high-quality aggregation model can intuitively describe the relationship between knowledge and the internal mechanisms of knowledge and improve work efficiency.Therefore,optimizing the knowledge aggregation model of the virtual academic community can build a quality resource acquisition platform and achieve knowledge sharing and innovation.Based on the relevant knowledge theory of virtual community and the existing knowledge aggregation related models,the paper establishes an overall model of knowledge integration in virtual communities and carries out case analysis.The details are as follows: First,the author describes the research status and significance of the current virtual academic community at home and abroad,and analyzes and explains the related theories of virtual community,virtual academic community,and knowledge aggregation.Based on this,it combines the relevant knowledge needs of academic community users.The analysis put forward the goal of knowledge aggregation in the virtual academic community—knowledge sharing,knowledge management,knowledge innovation and knowledge push.Secondly,according to the research content of this paper,the author puts forward a topic-based virtual academic community knowledge aggregation model and a virtual academic community knowledge aggregation model based on SECI.The relevant theories of the two models are analyzed in detail and combined in the theoretical study.On the basis of innovation,an integrated model of virtual academic community knowledge integration based on the integration of topics and the SECI model was established.Finally,the author uses the “Dingxiangyuan” virtual academic community as a carrier to collect and extract community knowledge texts through the web crawler software “Gathering Seeker GooSeeker”,and further uses software python to program textual preprocessing,vectorization,and based on The KMeans algorithm's text clustering analysis and visual data extraction confirm the correctness of the model established by the author by summarizing and comparing the programming results.This paper based on the user needs of the virtual academic community knowledge aggregation model research helps to expand the theoretical research of user-based knowledge organization;help to promote the further enrichment and development of the theoretical system of the virtual academic community,help follow-up scholars more indepth virtual Learning and Research on Knowledge Aggregation Model of Academic Community.At the same time,this paper establishes a new integrated model of virtual community knowledge aggregation based on the subject model and the SECI model.To a certain extent,it realizes the optimization of the current knowledge aggregation model and promotes the in-depth knowledge of the virtual learning community knowledge aggregation model theory.Adaptability development provides practical references for improving the level of knowledge aggregation in virtual academic communities.