[Purpose/significance] This study aims to explore the characteristics of community user interaction, and propose useful references for community knowledge service construction and platform management.[Method/process] Based on the theory of conversation analysis, using content analysis,LDA theme model and social network analysis methods, this paper analyzed the information interaction type, interaction theme and topology structure of information interaction network, and revealed the user interaction characteristics of virtual academic community from two dimensions of conversation interactive content and conversation interaction relationship.[Result/conclusion] The demand and supply of user interaction content in virtual academic community is unbalanced, and the topic structure of user interaction is decentralized; factual information, opinions and suggestions are the main types of interaction information in virtual academic community; the user interaction network in virtual academic community has the characteristics of small world effect, but the network structure is relatively decentralized, and lacks high influential users; this paper proposes strategies including ensuring effective information supply, innovation of community academic knowledge service and improvement of community interaction function design to promote virtual academic community user interaction.
[1] 巴志超, 李纲, 谢新洲. 网络环境下非正式社会信息交流过程的理论思考[J]. 图书情报知识, 2018(2):86-94.
[2] 贾新露, 王曰芬. 学术社交网络的概念、特点及研究热点[J]. 图书馆学研究, 2016(5):7-13.
[3] 孙思阳, 张海涛, 任亮, 等. 虚拟学术社区用户知识交流行为研究综述[J]. 情报科学, 2019, 37(1):171-176.
[4] 王雪芬, 朱庆华, 常李艳, 等. 虚拟求职社区的用户交互行为特点——以应届生求职论坛为例[J]. 图书情报工作, 2018, 62(10):62-69.
[5] NEPAL S, PARIS C, POUR P A, et al. Interaction-based recommendations for online communities[J]. Acm transactions on internet technology, 2015, 15(2):1-21.
[6] JENG W, DESAUTELS S, HE D, et al. Information exchange on an academic social networking site:a multidiscipline comparison on researchgate q&a[J]. Journal of the Association for Information Science and Technology, 2017, 68(3):638-652.
[7] 王海, 彭鑫, 于涵, 等. 社交化软件开发问答中的交互过程研究[J]. 计算机应用与软件, 2017, 34(5):1-11.
[8] DA SILVA L F C, BARBOSA M W, GOMES R R. Measuring participation in distance education online discussion forums using social network analysis[J]. Journal of the Association for Information Science and Technology, 2019, 70(2):140-150.
[9] 胡哲, 查先进,严亚兰.突发事件情境下在线健康社区用户交互行为研究[J]. 数据分析与知识发现, 2019,3(12):10-20.
[10] 吴江, 施立. 基于社会网络分析的在线医疗社区用户交互行为研究[J]. 情报科学, 2017, 35(7):120-125.
[11] 陈远, 刘福珍, 吴江. 基于二模复杂网络的共享经济平台用户交互行为研究[J]. 数据分析与知识发现, 2017, 1(6):72-82.
[12] 张敏, 田松瑞, 张可. 中文网络学术社区用户参与行为的实证分析[J]. 图书情报知识, 2019(4):82-93,121.
[13] ELSAYED A M. The use of academic social networks among arab researchers:a survey[J]. Social science computer review, 2016, 34(3):378-391.
[14] 王曰芬, 贾新露, 傅柱. 学术社交网络用户内容使用行为研究——基于科学网热门博文的实证分析[J]. 现代图书情报技术, 2016(6):63-72.
[15] 刘晓娟, 刘新哲. 虚拟学术群组特征研究——以用户为分析视角[J]. 图书情报工作, 2015, 59(24):83-92.
[16] 周佳莹, 娄策群. 数字化环境下高校图书馆用户信息行为分析[J]. 图书馆学研究, 2018(8):55-59,87.
[17] 赵康. 学术组织社群网络信息交流特征及结构演变[J]. 图书情报工作, 2017, 61(14):99-108.
[18] 刘慧云, 伍诗瑜. 微信用户学术信息交流行为影响因素研究[J]. 图书馆学研究, 2018(15):64-75.
[19] GOODWIN S, JENG W, HE D. Changing communication on researchgate through interface updates[J]. Proceedings of the American Society for Information Science and Technology, 2014, 51(1):1-4.
[20] 黄维, 赵鹏. 虚拟社区用户知识共享行为影响因素研究[J]. 情报科学, 2016, 34(4):68-73,103.
[21] KORANTENG F N, WIAFE I. Factors that promote knowledge sharing on academic social networking sites:an empirical study[J]. Education and information technologies, 2019, 24(2):1211-1236.
[22] LIN M J J, HUNG S W, CHEN C J. Fostering the determinants of knowledge sharing in professional virtual communities[J]. Computers in human behavior, 2009, 25(4):929-939.
[23] CHEN C-J, HUNG S-W. To give or to receive? Factors influencing members' knowledge sharing and community promotion in professional virtual communities[J]. Information & management, 2010, 47(4):226-236.
[24] 赵玲. 虚拟社区成员参与行为的实证研究[D]. 华中科技大学, 2011.
[25] 陈朝晖, 孙茜. 基于用户交互的网络服务及其在图书馆的应用研究[J]. 图书情报工作, 2006(10):11-13,18.
[26] 吴亚欣, 于国栋. 为会话分析正名[J]. 山西大学学报(哲学社会科学版), 2017(1):85-90.
[27] 卢晓静. 会话分析理论视角下的公益微博话语结构研究[J]. 武汉船舶职业技术学院学报, 2018, 17(1):118-122.
[28] 巴志超, 李纲, 毛进, 等. 微信群内部信息交流的网络结构、行为及其演化分析——基于会话分析视角[J]. 情报学报, 2018, 37(10):1009-1021.
[29] 孙迎晖. 会话分析研究方法的新特征及其影响[J]. 外语学刊, 2018(6):41-46.
[30] 何文涛, 王亚萍, 毛刚. 智慧教室环境下协作学习的交互特征分析——基于iis图分析与社会网络分析的视角[J]. 远程教育杂志, 2018, 36(3):75-83.
[31] RIENTIES B, TEMPELAAR D, VAN DEN BOSSCHE P, et al. The role of academic motivation in computer-supported collaborative learning[J]. Computers in human behavior, 2009, 25(6):1195-1206.
[32] CELA K L, SICILIA M Á, S NCHEZ S. Social network analysis in e-learning environments:a preliminary systematic review[J]. Educational psychology review, 2015, 27(1):219-246.
[33] 李纲, 王馨平, 巴志超. 微信群中会话网络结构及用户交互行为分析[J]. 情报理论与实践, 2018, 41(10):124-130,114.
[34] PLUTCHIK A R. General psychoevolutionary theory of emotion[M]. New York:Academic Press, 1980.
[35] BALES R F. Interaction process analysis; a method for the study of small groups[J]. Addison-wesley, 1950, 68(2):66-71.
[36] GROB L M, MEYERS R A, SCHUH R. Powerful/powerless language use in group interactions:sex differences or similarities?[J]. Communication quarterly, 1997, 45(3):282-303.
[37] GRIESBAUM J, MAHRHOLZ N, VON L WE KIEDROWSKI K, et al. Knowledge generation in online forums:a case study in the german educational domain[J]. Aslib journal of information management, 2015, 67(1):2-26.
[38] BLEI D M, NG A Y, JORDAN M I. Latent dirichlet allocation[J]. Journal of machine learning research, 2003, 3(4/5):993-1022.
[39] 张耀辉, 卢爽, 刘冰. 用户信息交互过程中影响信息质量的因素分析[J]. 情报理论与实践, 2012, 35(6):12-15.
[40] 许鑫, 翟姗姗, 姚占雷. 学术博客的学科交互实证分析——以科学网博客为例[J]. 现代图书情报技术, 2015(Z1):13-23.
[41] 严贝妮, 叶宗勇. 环境因素对虚拟社区用户知识共享行为的作用机制研究[J]. 情报理论与实践, 2017, 40(10):74-79.
