Key individual identification using dimensional relevance in the stratum of networks

Shah, Asadullah and Noora, Fozia and Akram, Muhammad Usman and Shoab, Ahmad Khan (2019) Key individual identification using dimensional relevance in the stratum of networks. Journal of Intelligent & Fuzzy systems. pp. 1-15. (In Press)

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Abstract

Different aspects of social networks have increasingly been under investigation from last decades. The social network studies range in various viewpoints from the structural and node measures to the information diffusion processes. The key node identification has been one of the limelight topics of social network analysis (SNA) specifically in a discipline like politics, criminology, marketing and etc. This research uses multiple networks constructed from the different social sites and real-life relationships to cover the multi-dimensional aspects of human relations. In the multi-relationship system, the different dimensions may differ in terms of relevance and weight. One of the most intriguing aspects of key node identification in the multi-dimensional system can be the consideration of dimensions relevance. This research covers the methodology to optimise the weights of dimensions using a number of centrality measures from each network layer covering multiple different objectives of interest. The study formulates the novel weighted feature set pertaining to layer relevance calculated based on layer relative importance through particle swarm optimization techniques. The framework applied ensemble-based approach on the weighted feature set along with node characteristics to predict key nodes in a network. The results are validated against ground truth data and accuracy achieved is promising.

Item Type:	Article (Journal)
Additional Information:	6566/74469
Uncontrolled Keywords:	Network analysis ; SNA ; multi-relationship system ; Multi-layer social networks, dimensional relevance, key player identification, majority voting based ensemble, particle swarm optimization
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 > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof Asadullah Shah
Date Deposited:	20 Sep 2019 10:46
Last Modified:	06 Apr 2020 07:13
URI:	http://irep.iium.edu.my/id/eprint/74469

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