سال انتشار: ۱۳۹۱

محل انتشار: ششمین کنفرانس بین المللی پیشرفتهای علوم و تکنولوژی

تعداد صفحات: ۷

نویسنده(ها):

Vala Ali Rohani – Department of Software Engineering, Faculty of Computer Science, University of Malaya, Kuala Lumpur, Malaysia
Siew Hock Ow –

چکیده:

Social network analysis (SNA) is a set of theories and technique to uncover the patterning of people’s interaction in a social network. To understand each social network and their participants, we need to evaluate the location of actors in the network by finding the centrality of them. These measures give us insight into the various roles and groupings in a network.In this research, we analysed the MyExperts (Malaysian Experts Academic Social Network) in terms of the three most popular centrality measures including Degree Centrality, Betweenness Centrality, and Closeness Centrality.MyExperts is the first academic social network in Malaysia. It enables all universities in Malaysia to create their own social networks in which all students, graduates and researchers can have their profile and collaborate with each other. Currently, more than 600 students from 14 universities have already joined this social network and created their own profile.The database records and logs which generated with automatic log generator enabled us to access live datasets for evaluating the centrality measures in MyExperts.