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Understanding and Analyzing Social Network Structure Among University Students
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Author(s): Md. Sharif Hossen (Comilla University, Bangladesh) and Aminul Islam (University of Liberal Arts Bangladesh (ULAB), Bangladesh)
Copyright: 2022
Volume: 14
Issue: 1
Pages: 11
Source title:
International Journal of Social Media and Online Communities (IJSMOC)
Editor(s)-in-Chief: Rohit Rampal (State University of New York at Plattsburgh, USA)
DOI: 10.4018/IJSMOC.301570
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Abstract
Mobile phone arguably is one of the most reached and used technology in human history. Technology has become ubiquitous in the life of human beings. Equipped with multiple sensors and devices, smartphones can record each and every action, psychological and environmental states of users, making it a goldmine of rich data about and insight into the dynamics of human communication, human behavior, relationships, and social interaction. As a source of data for empirical research, this device has gotten much attention from scholars in various disciplines like sociology, social psychology, urban studies, communication and media studies, public health, epidemiology, and computer science. This research tries to understand the structure of social networks of university students by investigating their communication patterns using self-reported mobile phone data. Here, we can find those students who are connected to most of the classmates and maintain a strong relationship and perform a task successfully using the values of eigenvector, closeness, and betweenness centrality, respectively.
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