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Scientific Information Research

Keywords

academic virtual community; efficiency evaluation; network analysis; weight design; time series analysis

Abstract

[Purpose/Significance]The measurement of knowledge exchange efficiency of academic virtual community has a positive significance for understanding and improving the academic virtual community itself, and also provides a new application analysis field for the evaluation methods of knowledge exchange efficiency. [Methods/Process]This paper proposes a method to measure the efficiency of knowledge exchange in academic virtual community by using networks of blog author. The network node weights are designed by summarizing the total number of views, recommendations, comments and blog category of each blog author. The edge weights in network are designed by the blog author's domain characteristics and blog category. According to the discipline section and blog category section, combining with the characteristics of temporal evolution, this paper analyzes the effect and efficiency of knowledge exchange in related sections from the perspective of path length and clustering coefficient, and makes a necessary summary of related phenomena and conclusions. [Results/Conclusion]It can provide a relatively complete pre-research summary for the research on knowledge exchange in academic virtual community, and elaborate and introduce the research direction and content that need attention.

First Page

33

Last Page

48

Reference

[1] 李树青，严梓豪，张志旺，等.基于扩展关键词指标分析的学术虚拟社区知识交流效率研究[J].科技情报研究，2022，4（04）：12-25.
[2] 汤刚强.网络学术社区学科关系社会网络研究[D].南京：南京大学，2015.
[3] 刘雨农，刘敏榕.虚拟知识社区的社会网络结构及影响因素：以知乎网为例[J].图书情报工作，2018，62（04）：89-96.
[4] 王学东，杜晓曦，石自更.面向学术博客知识交流的社会网络中心性分析[J]. 情报科学，2013，31（03）：3-8，16.
[5] COWAN R，JONARD N.Network Structure and the Diffusion of Knowledge[J].Journal of Economic Dynamics & Control，2004（28）：1557-1575.
[6] 胡平波，凌和良.基于BP网络模型的网络组织中知识共享效率评价[J].情报杂志，2009，28（09）：78-82.
[7] 郑展，郑康.加权RIN知识流动效率测度研究[J].软科学，2009，23（04）：69-71，91.
[8] 吕鸿江，吴亮，周应堂.信任与惩罚机制匹配的知识网络交流效率研究[J].科研管理，2018，39（08）：151-160.
[9] 胡德华，张又月，罗爱静.基于遗传投影寻踪算法的学术虚拟社区知识交流效率研究[J].图书馆论坛， 2019，39（04）：67-73.
[10] 潘庆伟，李树青，张志旺，等.基于网络知识空间分析的学术虚拟社区知识交流效率测度[J].情报理论与实践，2023，46（04）：195-203，194.
[11] ZHANG X F，SU J F.An Integrated QFD and 2-tuple Linguistic Method for Solution Selection in Crowdsourcing Contests For Innovative Tasks[J].Journal of Intelligent & Fuzzy Systems，2018，35（06）：6329-6342.
[12] WILHELM M，DOLFSMA W.Managing Knowledge Boundaries for Open Innovation-lessons from the Automotive Industry[J].International Journal of Operations and Production Management，2018，38（01）：230-248.
[13] PENG X，WEI S，DUAN Y.Framework of Open Innovation in SMEs in an Emerging Economy：Firm Characteristics，Network Openness，and Network Information[J].International Journal of Technology Management，2013，62（02-04）：223-250.
[14] TANG F，MU J，MACLACHLAN D L.Disseminative Capacity，Organizational Structure and Knowledge Transfer[J].Expert Systems with Applications，2010，37（02）：1586-1593.
[15] MARBUN D S，Juliandi A，Effendi S.The Effect of Social Media Culture and Knowledge Transfer on Performance[J].Budapest International Research and Critics Institute-Journal，2020，3（03）：2513-2520.
[16] ANAND A，MUSKAT B，CREED A，et al.Knowledge Sharing，Knowledge Transfer and SMEs：Evolution， Antecedents，Outcomes and Directions[J].Personnel review，2021，50（09）：1873-1893.
[17] LIU Y，ROUSSEAU R，GUNS R.A Layered Framework to Study Collaboration as a Form of Knowledge Sharing and Diffusion[J].Journal of Informetrics，2013，7（03）：651-664.
[18] SU J，YANG Y，ZHANG X.Knowledge Transfer Efficiency Measurement with Application for Open Innovation Networks[J].International Journal of Technology Management，2019，81（1/2）：118-142.
[19] SONG W，MING X，WANG P.Collaborative Product Innovation Network：Status Review，Framework，and Technology Solutions[J].Concurrent Engineering，2013，21（01）：55-64.
[20] ZHANG B S，ZHANG Q P.Empirical Study on Influencing Factors of Knowledge Flow's Efficiency in Virtual Technology Innovation Team[J].Information Science，2016，35（02）：70-76.
[21] SANGAIAH A K，GOPAL J，BASU A，et al.An Integrated Fuzzy Dematel，Topsis，and Electre Approach for Evaluating Knowledge Transfer Effectiveness With Reference to GSD Project Outcome[J].Neural Computing and Applications，2015，28（01）：1-13.
[22] PHELPS C，HEIDL R，WADHWA A.Knowledge， Networks，and Knowledge Networks：A Review and Research Agenda[J].Journal of Management，2012，38（04）：1115-1166.
[23] VALERI M，BAGGIO R.Increasing the Efficiency of Knowledge Transfer in an Italian Tourism System： A Network Approach[J].Current Issues in Tourism，2022，25（13）：2127-2142.
[24] WANG X H，ZHANG B S.Efficiency Measure Model of Knowledge Flows Within Knowledge Network[J]. Journal of Intelligence，2010，29（10）：89-93.
[25] LATORA V，MARCHIORI M.Efficient Behavior of Small-World Networks[J].Physical Review Letters，2001，87（19）：198701.
[26] BAGGIO R，COOPER C.Knowledge Transfer in a Tourism Destination：the Effects of a Network Structure[J].The Service Industries Journal，2010，30（10）：1757-1771.
[27] VRAGOVIC I，LOUIS E，DIAZ-GUILERA A.Efficiency of Informational Transfer in Regular and Complex Networks[J].Physical Review E，2005，71（03）：036122.
[28] KONIG M D，BATTISTON S，NAPPOLETANO M，et al.The Efficiency and Stability of R&D Networks[J].Games and Economic Behavior，2012，75（02）：694-713.
[29] ATARI M，DAVANI A M，KOGON D，et al.Morally Homogeneous Networks and Radicalism[J].Social Psychological and Personality Science，2022，13（06）：999-1009.

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