@article{(Open Science Index):https://publications.waset.org/pdf/9229,
	  title     = {An Analysis of the Social Network Structure of Knowledge Management Students at NTU},
	  author    = {Guo Yanru and  Zhu Xiaobo and  Lee Chu Keong},
	  country	= {},
	  institution	= {},
	  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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {6},
	  number    = {10},
	  year      = {2012},
	  pages     = {1190 - 1198},
	  ee        = {https://publications.waset.org/pdf/9229},
	  url   	= {https://publications.waset.org/vol/70},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 70, 2012},