PERSONAL SHARING IN SOCIAL NETWORK ANALYSIS – A CASE STUDY IN UNIVERSITI MALAYSIA TERENGGANU
Article 4
DOI:
https://doi.org/10.46754/jmsi.2021.12.004Keywords:
Social network analysis, Friendship network, Reciprocity, Community detectionAbstract
In this paper, we discuss a case-study of personal sharing of information among students of two undergraduate programme, i.e., Computational Mathematics and Software Engineering (in short, CM and SE respectively) at UniversitiMalaysia Terengganu, Malaysia. The data collected is represented as a directed graph with edges between vertices representing information sharing between the focused-group of students. An analysis is carried out to identify reciprocity,binfluential individuals and community formation to understand the dynamics of these two groups. Even though the density of CM and SE students’ network are somewhat similar, but higher number of reciprocities and communities exists in CM network which indicates resource sharing can be limited in a particular
network. However, two isolated vertices also exist for CM which indicates these students prefer to work alone thus in need of extra attention. It is expected that with the community information derived, we can use it to sustain the dynamics of the network and further boost teaching and learning using various divide-andconquer strategies.
References
T. Wey, D. T. Blumstein, W. Shen & F. Jordan. (2008). Social network analysis of animal behaviour: A promising tool for the
study of sociality. Animal Behaviour, 75, 333-344.
I. McCulloh, H. Amstrong & A. Johnson. (2013). Social network analysis with applications. Hoboken, New Jersey: John Wiley & Sons, Inc.
J. Moody. (2013). Race, school Integration, and friendship segregation in America. American Journal of Sociology, 107(3),
-716.
E. Vaquera & G. Kao. (2008). Do you like me as much as I like you? Friendship reciprocity and its effects on school outcomes among adolescents. Social Science Research, 37(1), 55-72.
A. R. Rao. (1995). Reciprocity in marital and social networks: Illustration with Indian data. Human Biology, 67(6), 887-904.
A. R. Rao & S. Bandyopadhyay. (1987). Measures of reciprocity in a social network. Sankhya Ser. A, 49, 141-188.
A. R. Rao. (1996). Reciprocity in a network: Theory and applications. In S. Arumugam, B. D. Acharya, E. Sampathkumar (Eds.), Proc. of the National Workshop on Graph Theory and Its Applications ( p p . 1 2 9 - 144). Manonmaniam Sundaranar University, Tirunelveli. New Delhi: Tata McGraw Hill.
B. Vasanthi, S. Arumugam & S. V. Nayana. (2016). Personal sharing in small groups – A case study. Procedia – Social and Behavioral
Sciences, 219, 108-112.
M. E. J. Newman & M. Girvan. (2004). Finding and evaluating community structure in networks. Phys. Rev. E., 2(69), 15.
R. U. Gobithaasan, N. S. Din, L. Ramachandran & R. Hasni. (2019). Boosting students’ performance with the aid of social network analysis. UMT Journal of Undergraduate Research, 1(3), 28-35.
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