Please wait a minute...
Advanced Search
现代图书情报技术  2016, Vol. 32 Issue (7-8): 70-77     https://doi.org/10.11925/infotech.1003-3513.2016.07.09
  本期目录 | 过刊浏览 | 高级检索 |
基于复杂网络的虚拟社区创新知识传播机制研究*
叶腾1(),韩丽川1,邢春晓2,3,张妍2,3
1上海交通大学安泰经济与管理学院 上海 200030
2清华大学信息技术研究院 北京 100084
3清华信息科学与技术国家实验室 北京 100084
Knowledge Dissemination Mechanism in Virtual Communities: Case Study Based on Complex Network Theory
Ye Teng1(),Han Lichuan1,Xing Chunxiao2,3,Zhang Yan2,3
1Antai College of Economics and Management, Shanghai JiaoTong University, Shanghai 200030, China
2Research Institute of Information Technology, Tsinghua University, Beijing 100084, China
3Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China
全文: PDF (588 KB)   HTML ( 48
输出: BibTeX | EndNote (RIS)      
摘要 

目的】通过构建知识传播理论模型, 探究虚拟社区中知识传播效果的内在影响机制。【方法】基于虚拟社区GitHub的实际数据, 利用社会网络分析法和回归分析法, 实证研究社区成员的位置特性、区域特性和创新认可度对知识传播速度和传播范围的影响。【结果】位置中心性通过改变潜在受众数量影响知识传播范围。创新认可度通过影响传播概率影响知识传播速度。区域密集度与知识传播速度和传播范围呈负相关关系。【局限】研究结果仅基于一个大型虚拟社区, 结论的普遍性有待进一步证实。【结论】对虚拟社区的管理策略以及创新成员在虚拟社区中的知识分享策略和创新策略提出建议。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
叶腾
韩丽川
邢春晓
张妍
关键词 合作创新复杂网络虚拟社区知识传播    
Abstract

[Objective] This paper studies the mechanism of knowledge dissemination in virutal communities with the help of a new theoretical model. [Methods] First, we collected data from the virtual community GitHub. Second, we examined these data with social network and regression analysis techniques. Finally, we explored the influence of community member’s online position, physical location as well as attitude towards innovation to the knowledge dissemination speed and scope. [Results] We found that the number of online community members could change the scope of knowledge dissemination. The attitude towards innovation could affect the knowledge dissemination speed. The clustering extent posed negative effects to the knowledge dissemination scope and speed. [Limitations] This study was based on one virtual community. More research is needed to generalize the findings. [Conclusions] This study provides some strategical suggestion to virtual community management as well as members’ knowledge sharing and innovation activities.

Key wordsCollaborative innovation    Complex network    Virtual communities    Knowledge dissemination
收稿日期: 2016-02-29      出版日期: 2016-09-29
基金资助:*本文系国家863计划“心血管疾病大数据平台的构建和应用研究”(项目编号: SS2015AA020102)的研究成果之一
引用本文:   
叶腾,韩丽川,邢春晓,张妍. 基于复杂网络的虚拟社区创新知识传播机制研究*[J]. 现代图书情报技术, 2016, 32(7-8): 70-77.
Ye Teng,Han Lichuan,Xing Chunxiao,Zhang Yan. Knowledge Dissemination Mechanism in Virtual Communities: Case Study Based on Complex Network Theory. New Technology of Library and Information Service, 2016, 32(7-8): 70-77.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2016.07.09      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2016/V32/I7-8/70
[1] Adamic L A, Glance N.The Political Blogosphere and the 2004 US Election: Divided They Blog [C]. In: Proceedings of the 3rd International Workshop on Link Discovery. ACM, 2005: 36-43.
[2] Lewis K, Kaufman J, Gonzalez M, et al.Tastes, Ties, and Time: A New Social Network Dataset Using Facebook.com[J]. Social Networks, 2008, 30(4): 330-342.
[3] Cha M, Mislove A, Gummadi K P.A Measurement-driven Analysis of Information Propagation in the Flickr Social Network [C]. In: Proceedings of the 18th International Conference on World Wide Web. ACM, 2009: 721-730.
[4] Colizza V, Barrat A, Barthélemy M, et al.Prediction and Predictability of Global Epidemics: The Role of The Airline Transportation Network[J]. Proceedings of the National Academy of Science of the United States of America, 2005, 103(7): 2015-2020.
[5] Barabási A L, Albert R.Emergence of Scaling in Random Networks[J]. Science, 1999, 286(5439): 509-512.
[6] Adamic L A, Huberman B A.Power-law Distribution of the World Wide Web[J]. Science, 2000, 287(5461): 2115.
[7] Newman M.Applied Mathematics: The Power of Design[J]. Nature, 2000, 405(6785): 412-413.
[8] 彭红彬, 王军. 虚拟社区中知识交流的特点分析——基于 CSDN 技术论坛的实证研究[J]. 现代图书情报技术, 2009(4): 44-49.
[8] (Peng Hongbin, Wang Jun.Topology of the Knowledge Communication Network in Virtual Communities — Based on CSDN[J]. New Technology of Library and Information Service, 2009(4): 44-49.)
[9] 刘佩, 林如鹏. 网络问答社区 “知乎” 的知识分享与传播行为研究[J]. 图书情报知识, 2015(6): 109-119.
[9] (Liu Pei, Lin Rupeng.Research on Knowledge Sharing and Dissemination Behavior of Online Q&A Services: Taking Zhihu as an Example[J]. Documentation, Information and Knowledge, 2015(6): 109-119.)
[10] Newman M E.The Structure of Scientific Collaboration Networks[J]. Proceedings of the National Academy of Sciences, 2001, 98(2): 404-409.
[11] Ma M, Agarwal R.Through a Glass Darkly: Information Technology Design, Identity Verification, and Knowledge Contribution in Online Communities[J]. Information Systems Research, 2007, 18(1): 42-67.
[12] Lerman K, Ghosh R. Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks[OL]. arXiv:1003.2664v1.
[13] Bakshy E, Rosenn I, Marlow C, et al.The Role of Social Networks in Information Diffusion [C]. In: Proceedings of the 21st International Conference on World Wide Web. ACM, 2012: 519-528.
[14] 邹儒楠, 于建荣. 数字时代非正式学术交流特点的社会网络分析——以小木虫生命科学论坛为例[J]. 情报科学, 2015, 33(7): 81-86.
[14] (Zou Ru’nan, Yu Jianrong.Social Network Analysis of Informal Scholarly Commnication Characteristics in Digital Age—Take BBS.BIOON.NET for Example[J]. Information Science, 2015, 33(7): 81-86.)
[15] Myers S A, Zhu C, Leskovec J.Information Diffusion and External Influence in Networks [C]. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2012: 33-41.
[16] Gomez-Rodriguez M, Leskovec J, Krause A.Inferring Networks of Diffusion and Influence [C]. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2010: 1019-1028.
[17] Yang J, Leskovec J.Modeling Information Diffusion in Implicit Networks [C]. In: Proceedings of the 10th International Conference on Data Mining (ICDM). IEEE, 2010: 599-608.
[18] Cannarella J, Spechler J A. Epidemiological Modeling of Online Social Network Dynamics[OL]. arXiv:1401.4208, 2014.
[19] Zhao L, Wang Q, Cheng J, et al.Rumor Spreading Model with Consideration of Forgetting Mechanism: A Case of Online Blogging Livejournal[J]. Physica A: Statistical Mechanics and its Applications, 2011, 390: 2619-2625.
[20] Bettencourt L M, Cintrón-Arias A, Kaiser D I, et al.The Power of a Good Idea: Quantitative Modeling of the Spread of Ideas from Epidemiological Models[J]. Physica A: Statistical Mechanics and its Applications, 2006, 364: 513-536.
[21] Gruhl D, Guha R, Liben-Nowell D, et al.Information Diffusion Through Blogspace[C]. In: Proceedings of the 13th International Conference on World Wide Web. ACM, 2004: 491-501.
[22] Pastor-Satorras R, Vespignani A.Epidemic Spreading in Scale-Free Networks[J]. Physical Review Letters, 2001, 86(14): 3200-3203.
[23] Girvan M, Callaway D S, Newman M E, et al.Simple Model of Epidemics with Pathogen Mutation[J]. Physical Review E, 2002, 65(3): 031915.
[24] 魏静. 基于复杂在线网络的知识转移研究[D]. 南京: 南京航空航天大学, 2010.
[24] (Wei Jing.Research of Online Knowledge Transfer Based on Complex Network[J]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2010.)
[25] 王晓明. 微博信息传播网络的属性研究[D]. 太原: 太原理工大学, 2014.
[25] (Wang Xiaoming.Research of Microblog Information Diffusion Network Properties [D]. Taiyuan: Taiyuan University of Technology, 2014.)
[26] 张立凡, 赵凯. 媒体干预下带有讨论机制的网络舆情传播模型研究[J]. 现代图书情报技术, 2015(11): 60-67.
[26] (Zhang Lifan, Zhao Kai.Study on the Internet Public Opinion Dissemination Model with Discussion Under the Effect of Media[J]. New Technology of Library and Information Service, 2015 (11): 60-67.)
[27] Stieglitz S, Dang-Xuan L.Political Communication and Influence Through Microblogging-An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior [C]. In: Proceedings of the 45th Hawaii International Conference on System Science. 2012: 3500-3509.
[28] Zhang L, Peng T Q, Zhang Y P, et al.Content or Context: Which Matters More in Information Processing on Microblogging Sites[J]. Computers in Human Behavior, 2014, 31: 242-249.
[29] Huffaker D.Dimensions of Leadership and Social Influence in Online Communities[J]. Human Communication Research, 2010, 36(4): 593-617.
[30] Castillo C, Mendoza M, Poblete B.Information Credibility on Twitter [C]. In: Proceedings of the 20th International Conference on World Wide Web. ACM, 2011: 675-684.
[31] 刘丽群, 宋咏梅. 虚拟社区中知识交流的行为动机及影响因素研究[J]. 新闻与传播研究, 2007, 14(1): 43-51.
[31] (Liu Liqun, Song Yongmei.A Study on Motivation and Influencing Factors in the Knowledge Communication of the Virtual Community[J]. Journalism and Communication. 2007, 14(1): 43-51.)
[32] Wu X, Liu Z.How Community Structure Influences Epidemic Spread in Social Networks[J]. Physica A: Statistical Mechanics and its Applications, 2008, 387: 623-630.
[33] Newman M.Networks: An Introduction [M]. Oxford University Press, 2010.
[1] 陈文杰,文奕,杨宁. 基于节点向量表示的模糊重叠社区划分算法*[J]. 数据分析与知识发现, 2021, 5(5): 41-50.
[2] 李文政,顾益军,闫红丽. 基于网络贝叶斯信息准则算法的社区数量预测研究*[J]. 数据分析与知识发现, 2020, 4(4): 72-82.
[3] 关鹏,王曰芬. 国内外专利网络研究进展*[J]. 数据分析与知识发现, 2020, 4(1): 26-39.
[4] 李想,钱晓东. 商品在线评价对消费趋同影响研究*[J]. 数据分析与知识发现, 2019, 3(3): 102-111.
[5] 严娇,马静,房康. 基于融合共现距离的句法网络下文本语义相似度计算 *[J]. 数据分析与知识发现, 2019, 3(12): 93-100.
[6] 蒋武轩,熊回香,叶佳鑫,安宁. 网络社交平台中社群标签动态生成研究 *[J]. 数据分析与知识发现, 2019, 3(10): 98-109.
[7] 钱晓东, 李敏. 基于复杂网络重叠社区的电子商务用户复合类型识别*[J]. 数据分析与知识发现, 2018, 2(6): 79-91.
[8] 王忠义, 张鹤铭, 黄京, 李春雅. 基于社会网络分析的网络问答社区知识传播研究[J]. 数据分析与知识发现, 2018, 2(11): 80-94.
[9] 陈云伟, 张瑞红. 用于情报挖掘的典型网络社团划分算法比较研究*[J]. 数据分析与知识发现, 2018, 2(10): 84-94.
[10] 刘冰瑶, 马静, 李晓峰. 一种“特征降维”文本复杂网络的话题表示模型*[J]. 数据分析与知识发现, 2017, 1(11): 53-61.
[11] 吴江,陈君,张劲帆. 协同创新中知识供需系统的模拟研究*[J]. 现代图书情报技术, 2016, 32(9): 27-33.
[12] 夏立新,谭荧. LOD的网络结构分析与可视化*[J]. 现代图书情报技术, 2016, 32(1): 65-72.
[13] 翟姗姗, 许鑫, 夏立新. 学术博客中的用户交流与知识传播研究述评[J]. 现代图书情报技术, 2015, 31(7-8): 3-12.
[14] 王小立. 智能多Agent网络的微信信息传播仿真研究[J]. 现代图书情报技术, 2015, 31(6): 85-92.
[15] 张永云, 张生太. 社交媒体知识协作网络中的明星效应和经纪人效应——来自Wikipedia社交媒体的发现[J]. 现代图书情报技术, 2015, 31(4): 72-78.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 2015 《数据分析与知识发现》编辑部
地址:北京市海淀区中关村北四环西路33号 邮编:100190
电话/传真:(010)82626611-6626,82624938
E-mail:jishu@mail.las.ac.cn