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On social computing research collaboration patterns: a social network perspective

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Abstract

The field of social computing emerged more than ten years ago. During the last decade, researchers from a variety of disciplines have been closely collaborating to boost the growth of social computing research. This paper aims at identifying key researchers and institutions, and examining the collaboration patterns in the field. We employ co-authorship network analysis at different levels to study the bibliographic information of 6 543 publications in social computing from 1998 to 2011. This paper gives a snapshot of the current research in social computing and can provide an initial guidance to new researchers in social computing.

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Correspondence to Tao Wang.

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Tao Wang received his BSc in management from Northwest University, Xi’an, China, in 2008. He received his MSc in engineering from the National University of Defense and Technology, Changsha, China, in 2010. He is currently a PhD student in the College of Information Systems and Management at the National University of Defense and Technology, Changsha, China. His major interests include social computing, link prediction, link mining, and parallel management theory.

Qingpeng Zhang received his BSc in automation from Huazhong University of Science and Technology, Wuhan, China, in 2009. He is currently a PhD student with the Department of Systems and Industrial Engineering, University of Arizona, working in the fields of social computing and complex networks.

Zhong Liu received his MSc and PhD from the National University of Defense Technology (NUDT), Changsha, China, in 1997 and 2000, respectively. Currently, he is a professor of NUDT. His research interests are in information management and decisionmaking support technology.

Wenli Liu received his MSc in engineering from the National University of Defense and Technology, Changsha, China, in 2010. He is currently a PhD student in the College of Information Systems and Management at the same institute. His major interests include data mining, business intelligence, and parallel management theory.

DingWen is a professor of the National University of Defense Technology (NUDT), Changsha, Hunan, China, and a senior advisor of the Military Computational Experiments and Parallel Systems Research Center at NUDT. His main research interests include behavioral operations management, human resource management, management information systems, and intelligent systems. He has published extensively and received numerous awards for his work in those areas.

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Wang, T., Zhang, Q., Liu, Z. et al. On social computing research collaboration patterns: a social network perspective. Front. Comput. Sci. 6, 122–130 (2012). https://doi.org/10.1007/s11704-011-1173-9

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