Excavation Network Properties on Twitter Based Data of Bahauddin Zakriya University Multan

Abstract

Social media plays a vital role in all aspects of our life. Critical issues of Bahauddin Zakriya University Multan have been disused in social media, involving datesheet, Results, Exams, Online exam and other students affairs and activities. This paper aims at the study for the detection of hidden communities and influential users on social media through analysis of tweets related to BZU. In this study, we discussed large scale analysis of twitter data using social network analysis techniques using different networks. We use methodology to analyze macroscopic and microscopic properties of network. Further, we detect communities and sub-communities and their impact on network. We also tried to extract information from these communities. We use 3 community detection algorithms and compare their results. As a result, we were able to visualize the communities and sub communities of large network. This approach may help in identifying positive and negative communities in a network.