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An Analysis of the Social Network Structure of Knowledge Management Students at NTU

Authors: Guo Yanru, Zhu Xiaobo, Lee Chu Keong

Abstract:

This paper maps the structure of the social network of the 2011 class ofsixty graduate students of the Masters of Science (Knowledge Management) programme at the Nanyang Technological University, based on their friending relationships on Facebook. To ensure anonymity, actual names were not used. Instead, they were replaced with codes constructed from their gender, nationality, mode of study, year of enrollment and a unique number. The relationships between friends within the class, and among the seniors and alumni of the programme wereplotted. UCINet and Pajek were used to plot the sociogram, to compute the density, inclusivity, and degree, global, betweenness, and Bonacich centralities, to partition the students into two groups, namely, active and peripheral, and to identify the cut-points. Homophily was investigated, and it was observed for nationality and study mode. The groups students formed on Facebook were also studied, and of fifteen groups, eight were classified as dead, which we defined as those that have been inactive for over two months.

Keywords: Facebook, social network sites, friending relationships, Social network analysis, structural position

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072367

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References:


[1] Prensky, M. (2001). Digital Natives, Digital Immigrants. Retrieved on March 5, 2012 from: http://www.marcprensky.com/writing/prensky%20- %20digital%20natives,%20digital%20immigrants%20-%20part1.pdf
[2] White, D. S., & Le Cornu, A. (2011).Visitors and Residents: A new typology for online engagement. Retrieved on March 5, 2012 from: http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/3 171/3049
[3] Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook "friends:" Social capital and college students- use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143-1168.
[4] Experian. (2011). The local network: Experian analysis highlights which countries spend longest on Facebook. Retrieved on April 12, 2012, from: http://www.experianplc.com/news/company-news/2011/27-09- 2011.aspx
[5] Thompson, E.C. (2009). Mobile phones, communities and social networks among foreign workers in Singapore. Global Networks, 9(3), 359´Ç¡380.
[6] Adamic, L.A., Buyukkokten, O., & Adar, E. (2003). A social network caught in the Web. First Monday, 8(6). Retrieved April 5, 2012 from: http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/1 057/977
[7] Ferguson, C. (2010). Online social networking goes to college: Two case studies of higher education institutions that implemented college-created social networking sites for recruiting undergraduate students. Ed.D. dissertation, University of Pennsylvania, United States - Pennsylvania. Retrieved February 22, 2012, from Dissertations & Theses: Full Text (Publication No. AAT 3410480).
[8] Stutzman, F. D. (2010). Networked Information Behavior in Life Transition. Ph.D. dissertation. School of Information and Library Science, University of North Carolina at Chapel Hill, NC.
[9] Barkhuus, L., & Tashiro, J. (2010) Student Socialization in the Age of Facebook. Proceedings of the 28th international conference on Human factors in computing systems (CHI, 2010)
[10] Kapucu, N., Yuldashev, F., Demiroz, F., & Arslan, T. (2010). Social network analysis (SNA) applications in evaluating MPA classes. Journal of Public Affairs Education, 16(4), 541-563.
[11] Granovetter, M. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360-1380.
[12] Wasserman, S. & Faust, K. 1994. Social Network Analysis. Cambridge: Cambridge University Press.
[13] Hanneman, R.A. (2001). Introduction to social network methods. Riverside: University of California Riverside.
[14] Galaskiewicz, J., & Wasserman, S. (1994). Introduction advances in the social and behavioral sciences from social network analysis. Thousand Oaks, CA: Sage.
[15] Scott, J. (2000). Social network analysis: A handbook. Thousand Oaks, CA: Sage Publications.
[16] Freeman, L.C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239.
[17] Wenger, E., McDermott, R., and Snyder, W.M. (2002). Cultivating communities of practice. Boston: Harvard Business School Press.
[18] Trenholm, S. (1986). Human Communication Theory. Englewood Cliffs, NJ: Prentice-Hall.
[19] Selwyn, N. (2009). Faceworking: Exploring students- Education-related use of "Facebook". Learning, Media and Technology, 34(2), 157−174.
[20] Santos, I.M., Hammond, M., Durli, Z., & Chou S.-Y. (2009). Is there a role for social networking sites in education? Proceedings of the 9th IFIP TC3 World Conference on Computers in Education (WCCE 2009), 321−330.
[21] Roblyer, M.D., McDaniel, M., Webb, M., Herman, J., & Witty, J.V. (2010). Findings on Facebook in higher education: A comparison of college faculty and student uses and perceptions of social networking sites. The Internet and Higher Education, 13(3), 134−140.
[22] Joinson, A.N. (2008). ÔÇÿLooking at-, ÔÇÿLooking up- or "keeping up with- people? Motives and uses of Facebook. Proceedings of the 26th annual SIGCHI conference on Human factors in computing systems, April 05- 10, 2008
[23] De Villiers, R. (2010). Academic use of a group on Facebook: Initial findings and perceptions. Proceedings of Informing Science & IT Education Conference (InSITE 2010), 173−190.
[24] Dertouzos, M.L. (1997). What will be: How the new world of information will change our lives. New York: Harper Edge.