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New Technology of Library and Information Service  2015, Vol. 31 Issue (4): 72-78    DOI: 10.11925/infotech.1003-3513.2015.04.10
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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
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[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     
Received: 26 September 2014      Published: 21 May 2015
:  C931.6  

Cite this article:

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, 2015, 31(4): 72-78.

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