Please wait a minute...
Advanced Search
现代图书情报技术  2015, Vol. 31 Issue (4): 72-78    DOI: 10.11925/infotech.1003-3513.2015.04.10
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
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
张永云1,2, 张生太1
1 北京邮电大学经济管理学院 北京 100876;
2 太原科技大学经济与管理学院 太原 030024
Star Effect and Broker Effect in Social Media Knowledge Collaboration Network: Discovery from Wikipedia Social Media
Zhang Yongyun1,2, Zhang Shengtai1
1 School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2 School of Economics and Management, Taiyuan University of Science and Technology, Taiyuan 030024, China
全文: PDF(493 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 

[目的]研究社交媒体知识协作网络中的明星节点和经纪人节点对知识传播的影响。[方法]运用Wikipedia中生物科学领域的197个知识点构建知识协作网络, 利用社会网络分析工具分析知识节点的相关指标, 并使用统计方法进行研究模型估计。[结果]处于网络中心位置的明星节点或拥有较多结构洞的经纪人节点, 其传播效果较好, 网络节点的粉丝群体协作规模在社交媒体知识传播中起到了半中介效应。[局限]样本局限于生物科学领域部分知识节点, 从整体网角度看, 界限选取和学科领域的不同是否会影响研究结果还有待进一步分析。[结论]明星节点和经纪人节点的优势一方面直接发挥作用, 另一方面通过粉丝群体的媒介效应发挥作用。

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
张永云
张生太
关键词 社交媒体知识协作网络明星节点经纪人节点粉丝群体协作规模知识传播效果    
Abstract

[Objective] To study how the star role and broker role in social media knowledge collaboration network effect on knowledge dissemination. [Methods] This paper constructs knowledge collaboration network using 197 related biological knowledge samples from Wikipedia, analyzes the relevant indicators of knowledge nodes by social network analysis tools and studies model estimation using statistical methods. [Results] Star units in the network center position and broker units having more structural holes could get better dissemination effects. The scale of the node's fans group collaboration in the network plays a half intermediary role in social media knowledge dissemination. [Limitations] Samples are limited to the knowledge nodes in biological science field, and from the perspective of the overall network, whether boundary selection and discipline affect the study remains to be further analyzed. [Conclusions] The advantages of star nodes and broker nodes play a direct role on knowledge dissemination and an indirect role by the media effect of the fan group.

Key wordsSocial media knowledge collaboration network    Star nodes    Broker nodes    Fan group collaboration scale    Knowledge dissemination effect
收稿日期: 2014-09-26     
:  C931.6  
基金资助:

本文系国家自然科学基金面上项目“组织的隐性知识传播模型研究”(项目编号:70871072)、国家UIT项目“基于移动商务的定位服务理论与应用研究”(项目编号:201310109003)和国家软科学计划项目“国际人才资源开发与管理政策研究”(项目编号:2011GXS5K098)的研究成果之一。

通讯作者: 张永云,ORCID:0000-0001-9739-6336,E-mail:63409066@qq.com     E-mail: 63409066@qq.com
作者简介: 作者贡献声明: 张永云:提出研究思路,设计研究方案,采集、清洗和分析数据;张永云,张生太:论文起草及最终版本修订。
引用本文:   
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.
Zhang Yongyun, Zhang Shengtai. Star Effect and Broker Effect in Social Media Knowledge Collaboration Network: Discovery from Wikipedia Social Media. New Technology of Library and Information Service, DOI:10.11925/infotech.1003-3513.2015.04.10.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2015.04.10

[1] 张宝生, 张庆普, 王晓红. 知识网络成员合作行为策略选择研究[J]. 科研管理, 2012, 33(11): 144-151. (Zhang Baosheng, Zhang Qingpu, Wang Xiaohong. The Strategy Choice of Cooperative Behavior Among the Members in the Knowledge Network [J]. Science Research Management, 2012, 33(11): 144-151.)
[2] 吴福象, 蒋天颖, 孙伟. 网络位置、知识转移对集群企业竞争优势的影响—一项基于对温州乐清低压电器产业集群的实证研究[J]. 科研管理, 2013, 34(12): 48-57. (Wu Fuxiang, Jiang Tianying, Sun Wei. Impact of Network Site and Knowledge Transfer on Competitive Advantages of Cluster Enterprises—An Empirical Study on Wenzhou Leqing Low-Voltage Electrical Industry Cluster [J]. Science Research Management, 2013, 34(12): 48-57.)
[3] 汪涛, 任瑞芳, 曾刚. 知识网络结构特征及其对知识流动的影响[J]. 科学学与科学技术管理, 2010, 31(5): 150-155. (Wang Tao, Ren Ruifang, Zeng Gang. Structure of Knowledge Network and Its Impact on Knowledge Flows [J]. Science of Science and Management of S.& T., 2010, 31(5): 150-155.)
[4] Oestreicher-Singer G, Sundararajan A. The Visible Hand? Demand Effects of Recommendation Networks in Electronic Markets [J]. Management Science, 2012, 58(11): 1963-1981.
[5] Rishika R, Kumar A, Janakiraman R, et aletce and Management of S.& . The Effect of Customers' Social Media Participation on Customer Visit Frequency and Profitability: An Empirical Investigation [J]. Information Systems Research, 2013, 24(1): 108-127.
[6] 雷雪, 焦玉英, 陆泉, 等. 基于社会认知论的Wiki社区知识共享行为研究[J]. 现代图书情报技术, 2008(2): 30-34. (Lei Xue, Jiao Yuying, Lu Quan, et al. Investigation on Knowledge Sharing Behavior of Wiki Community Based on the Social Cognitive Theory [J]. New Technology of Library and Information Service, 2008(2): 30-34.)
[7] Nerkar A, Paruchuri S. Evolution of R&D Capabilities: The Role of Knowledge Networks Within a Firm [J]. Management Science, 2005, 51(5): 771-785.
[8] Wang C, Rodan S, Fruin M, et al. Knowledge Networks, Collaboration Networks, and Exploratory Innovation [J]. Academy of Management Journal, 2014, 57(2): 484-514.
[9] Vargo S L, Lusch R F. Evolving to a New Dominant Logic for Marketing [J]. Journal of Marketing, 2004, 68(1): 1-17.
[10] 王开明, 万君康. 论知识的转移与扩散[J]. 外国经济与管理, 2000, 22(10): 2-7. (Wang Kaiming, Wan Junkang. Transfer and Diffusion of Knowledge [J]. Foreign Economics & Management, 2000, 22(10): 2-7.)
[11] Yates D, Wagner C, Majchrzak A. Factors Affecting Shapers of Organizational Wikis [J]. Journal of the American Society for Information Science and Technology, 2010, 61(3): 543-554.
[12] Majchrzak A, Wagner C, Yates D. The Impact of Shaping on Knowledge Reuse for Organizational Improvement with Wikis [J]. MIS Quarterly, 2013, 37(2): 455-469.
[13] 陈振标, 王玲艳, 赵需要, 等. 基于维基的知识共享应用——以研究生专题学术教育为例[J]. 现代图书情报技术, 2009(11): 93-97. (Chen Zhenbiao, Wang Lingyan, Zhao Xuyao, et al. Application of Knowledge-sharing Based on Wikipedia——Take the Academic Topics of Graduate Education as an Example [J]. New Technology of Library and Information Service, 2009(11): 93-97.)
[14] 汪小帆, 李翔, 陈关荣. 网络科学导论[M]. 北京: 高等教育出版社, 2012. (Wang Xiaofan, Li Xiang, Chen Guanrong. Network Science: An Introduction [M]. Beijing: Higher Education Press, 2012.)
[15] Burt R S. Structural Holes: The Social Structure of Competition [M]. Cambridge, MA, USA: Harvard University Press, 1992.
[16] Uzzi B. Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness [J]. Administrative Science Quarterly, 1997, 42(1): 35-67.
[17] 田雯. 通过激活社会资本在虚拟社区中实现知识共享: 来自中国在线社交网络的发现[D]. 合肥: 中国科学技术大学, 2011. (Tian Wen. Achieving Knowledge Sharing Outcomes Through the Activation of Social Capital in Virtual Communities: Evidence from Chinese Online Social Network Communities [D]. Hefei: University of Science and Technology of China, 2011.)
[18] Phang C W, Zhang C H, Sutanto J. The Influence of User Interaction and Participation in Social Media on the Consumption Intention of Niche Products [J]. Information & Management, 2013, 50(8): 661-672.
[19] Campbell K, Marsden P, Hurlbert J. Social Resources and Socioeconomic Status [J]. Social Networks, 1986, 8(1): 97-117.
[20] Wikipedia [EB/OL]. [2014-08-20]. http://www.wikipedia.org.
[21] Burt R S. Brokerage & Closure: An Introduction to Social Capital [M]. Oxford University Press, 2005.
[22] Zaheer A, Bell G G. Benefiting from Network Position: Firm Capabilities, Structural Holes, and Performance [J]. Strategic Management Journal, 2005, 26(9): 809-825.
[23] Singh J. Collaborative Networks as Determinants of Knowledge Diffusion Patterns [J]. Management Science, 2005, 51(5): 756-770.
[24] Bendersky C, McGinn K L. Perspective-Open to Negotiation: Phenomenological Assumptions and Knowledge Dissemination [J]. Organization Science, 2010, 21(3): 781-797.
[25] Chiu C M, Hsu M H, Wang E T. Understanding Knowledge Sharing in Virtual Communities: An Integrationof Social Capital and Social Cognitive Theories [J]. Decision Support Systems, 2006, 42(3): 1872-1888.
[26] 钱锡红, 杨永福, 徐万里. 企业网络位置、吸收能力与创新绩效——一个交互效应模型[J]. 管理世界, 2010(5): 118-129. (Qian Xihong, Yang Yongfu, Xu Wanli. Enterprise Network Location, Absorptive Capacity and Innovation Performance: An Interactive Model [J]. Management World, 2010(5): 118-129.)

[1] 张晓燕, 张朋柱, 李嘉, 刘景方. 在线群体创新中的图片推荐方法研究[J]. 现代图书情报技术, 2014, 30(6): 94-99.
[2] 赵宇翔,彭希羡. 媒体即社区?信息系统领域基于文献的研究主题分析*[J]. 现代图书情报技术, 2014, 30(1): 56-65.
[3] 李青, 朱恒民, 杨东超. 微博网络中舆情话题传播演化模型[J]. 现代图书情报技术, 2013, (12): 74-80.
[4] 甘利人,许应楠. 企业信息系统用户接受行为影响因素研究——以ERP系统为例[J]. 现代图书情报技术, 2009, 3(2): 71-77.
[5] 曹培培,赵宇翔,徐一新. 基于TAM模型的政府网站使用行为实证研究[J]. 现代图书情报技术, 2008, 24(2): 76-81.
[6] 靳慧斌,袁乐平. 网络环境下动态联盟资源共享平台设计[J]. 现代图书情报技术, 2007, 2(6): 20-23.
[7] 周宁,张会平,陈勇跃 . 信息可视化与知识组织*[J]. 现代图书情报技术, 2006, 1(7): 62-65.
[8] 王以群,张力,姚永超. 企业管理信息系统多维立体整合方案[J]. 现代图书情报技术, 2004, 20(3): 73-75.
[9] 杨成明,朱少强. 对象/关系映射在MIS开发中的应用[J]. 现代图书情报技术, 2003, 19(4): 62-63.
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