Co-citation and cluster analyses of extant literature on social networks |
| |
| Institution: | 1. Department of Business Administration, Zhejiang University of Technology, Zhejiang, China;2. Emerging Markets Research Centre (EMaRC), School of Management, Swansea University Bay Campus, Fabian Way, Crymlyn Burrows, Swansea SA1 8EN, Wales, UK;3. Department of Information Management, Ming Chuan University, Taoyuan, Taiwan;1. University of North Dakota, Grand Forks, ND, USA;2. Metropolitan State University, Saint Paul, MN, USA;1. Information Sciences and Technology Division, The Pennsylvania State University, New Kensington, PA 15068, USA;2. School of Civil and Building Engineering, Loughborough University, LE11 3TU, UK;3. College of Design, Construction & Planning, University of Florida, Gainesville, FL 32611, USA;1. College of Business Administration, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-916, Republic of Korea;2. Department of Information Sociology, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan Gyeonggi-do, 426-791, Republic of Korea;3. Graduate School of Business, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-916, Republic of Korea;1. Department of Information Management, National Chung Cheng University, Taiwan;2. Department of Information Management, National Chung Cheng University, Taiwan;3. Department of Information Management, National Chung Cheng University, Taiwan |
| |
| 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 |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
