Nusratullah, Kajal and Shah, Asadullah and Akram, Muhammad Usman and Ahmad Khan, Shoab (2018) Detecting change from social networks using temporal analysis of email data. In: 14th International Conference on Information Technology - New Generations (ITNG 2017), 10th-12th April 2017, Las Vegas.
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Abstract
Social network analysis is one of the most recent areas of research which is being used to analyze behavior of a society, person and even to detect malicious activities. The information of time is very important while evaluating a social network and temporal information based analysis is being used in research to have better insight. Theories like similarity proximity, transitive closure and reciprocity are some well-known studies in this regard. Social networks are the representation of social relationships. It is quite natural to have a change in these relations with the passage of time. A longitudinal method is required to observe such changes. This research contributes to explore suitable parameters or features that can reflect the relationships between individual in network. Any foremost change in the values of these parameters can capture the change in network. In this paper we present a framework for extraction of parameters which can be used for temporal analysis of social networks. The proposed feature vector is based on the changes which are highlighted in a network on two consecutive time stamps using the differences in betweenness centrality, clustering coefficient and valued edges. This idea can further be used for detection of any specific change happening in a network. © Springer International Publishing AG 2018.
Item Type: | Conference or Workshop Item (Plenary Papers) |
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Additional Information: | 6566/64757 |
Uncontrolled Keywords: | Social network analysis, Temporal analysis, Network measures, Clustering coefficient |
Subjects: | T Technology > T Technology (General) > T10.5 Communication of technical information |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System |
Depositing User: | Prof Asadullah Shah |
Date Deposited: | 11 Jul 2018 12:42 |
Last Modified: | 11 Jul 2018 12:42 |
URI: | http://irep.iium.edu.my/id/eprint/64757 |
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