Co-citation and cluster analyses of extant literature on social networks

Wen-Lung Shiau, Yogesh K. Dwivedi and Han Suan Yang

International Journal of Information Management, 2017, vol. 37, issue 5, 390-399

Abstract: Over one billion people are currently using social media such as social websites (Facebook Newsroom, 2015); consequently, numerous academic scholars have developed interest in studying the use of social media and social networks. However, few studies have focused on examining the core factors of social networks. In this study, we collected studies on social-network-related topics that were published between January 1996 and December 2014, assembling a total of 2565 articles and 81,316 citations. Co-citation analysis and cluster analysis were applied to verify seven main factors regarding social networks: (a) the measure of complex social networks; (b) community structure; (c) strong and weak ties; (d) the evolution of social networks; (e) network structure and relationship; (f) value concept and measurement strategies; and (g) social capital. Finally, the results of this study were further discussed to elucidate the core topics relevant to social networks.

Keywords: Social network; Document co-citation; Multidimensional scaling analysis; Cluster analysis (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (24)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:37:y:2017:i:5:p:390-399

DOI: 10.1016/j.ijinfomgt.2017.04.007

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