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Deployment of social nets in multilayer model to identify key individuals using majority voting

Social web and social media are evidenced to be a rich source of user-generated social content. Social media includes multiple numbers of social dimensions represented by different social networks. The identification of important player in these real-world social networks has been in high emphasis d...

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Main Authors:	Noor, Fozia, Shah, Asadullah, Akram, Muhammad Usman, Ahmad Khan, Shoab
Format:	Article
Language:	English English English
Published:	Springer London 2019
Subjects:	T Technology (General) T10.5 Communication of technical information T173.2 Technological change
Online Access:	http://irep.iium.edu.my/159/1/deployment-of-social-nets-in-multilayer-model-to-identify-key-in-2018.pdf http://irep.iium.edu.my/159/7/159_Deployment%20of%20social%20nets%20in%20multilayer%20model_scopus.pdf http://irep.iium.edu.my/159/13/159_eployment%20of%20social%20nets%20in%20multilayer%20model_wos.pdf http://irep.iium.edu.my/159/ https://link.springer.com/article/10.1007/s10115-018-1187-9
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spelling	my.iium.irep.1592020-07-02T02:19:20Z http://irep.iium.edu.my/159/ Deployment of social nets in multilayer model to identify key individuals using majority voting Noor, Fozia Shah, Asadullah Akram, Muhammad Usman Ahmad Khan, Shoab T Technology (General) T10.5 Communication of technical information T173.2 Technological change Social web and social media are evidenced to be a rich source of user-generated social content. Social media includes multiple numbers of social dimensions represented by different social networks. The identification of important player in these real-world social networks has been in high emphasis due to its effectiveness in multiple disciplines, especially in law enforcement areas working on dark networks. Many algorithms have been proposed to identify key players according to the objective of interest using suitable network centrality measures. This paper proposes a new perspective of dealing with key player identification by redefining it as a problem of “Key Individual Identification,” across multiple social dimensions. Research deals with each social dimension as a layer in the multiple-layer social network model. The proposed technique extracts a number of features from each network based on social network analysis. The features are assembled to formulate a global feature set representing the behaviors of individuals in all networks individually. The technique then attempts to find key individuals using hybrid classifiers. The results from all classifiers are formulated, and the final decision of an individual to be part of the individual key set is based on majority voting. This novel technique gives good results on a number of known networks. Springer London 2019-01-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/159/1/deployment-of-social-nets-in-multilayer-model-to-identify-key-in-2018.pdf application/pdf en http://irep.iium.edu.my/159/7/159_Deployment%20of%20social%20nets%20in%20multilayer%20model_scopus.pdf application/pdf en http://irep.iium.edu.my/159/13/159_eployment%20of%20social%20nets%20in%20multilayer%20model_wos.pdf Noor, Fozia and Shah, Asadullah and Akram, Muhammad Usman and Ahmad Khan, Shoab (2019) Deployment of social nets in multilayer model to identify key individuals using majority voting. Knowledge and Information Systems, 58 (1). pp. 113-137. ISSN 0219-1377 E-ISSN 0219-3116 https://link.springer.com/article/10.1007/s10115-018-1187-9 10.1007/s10115-018-1187-9
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English English English
topic	T Technology (General) T10.5 Communication of technical information T173.2 Technological change
spellingShingle	T Technology (General) T10.5 Communication of technical information T173.2 Technological change Noor, Fozia Shah, Asadullah Akram, Muhammad Usman Ahmad Khan, Shoab Deployment of social nets in multilayer model to identify key individuals using majority voting
description	Social web and social media are evidenced to be a rich source of user-generated social content. Social media includes multiple numbers of social dimensions represented by different social networks. The identification of important player in these real-world social networks has been in high emphasis due to its effectiveness in multiple disciplines, especially in law enforcement areas working on dark networks. Many algorithms have been proposed to identify key players according to the objective of interest using suitable network centrality measures. This paper proposes a new perspective of dealing with key player identification by redefining it as a problem of “Key Individual Identification,” across multiple social dimensions. Research deals with each social dimension as a layer in the multiple-layer social network model. The proposed technique extracts a number of features from each network based on social network analysis. The features are assembled to formulate a global feature set representing the behaviors of individuals in all networks individually. The technique then attempts to find key individuals using hybrid classifiers. The results from all classifiers are formulated, and the final decision of an individual to be part of the individual key set is based on majority voting. This novel technique gives good results on a number of known networks.
format	Article
author	Noor, Fozia Shah, Asadullah Akram, Muhammad Usman Ahmad Khan, Shoab
author_facet	Noor, Fozia Shah, Asadullah Akram, Muhammad Usman Ahmad Khan, Shoab
author_sort	Noor, Fozia
title	Deployment of social nets in multilayer model to identify key individuals using majority voting
title_short	Deployment of social nets in multilayer model to identify key individuals using majority voting
title_full	Deployment of social nets in multilayer model to identify key individuals using majority voting
title_fullStr	Deployment of social nets in multilayer model to identify key individuals using majority voting
title_full_unstemmed	Deployment of social nets in multilayer model to identify key individuals using majority voting
title_sort	deployment of social nets in multilayer model to identify key individuals using majority voting
publisher	Springer London
publishDate	2019
url	http://irep.iium.edu.my/159/1/deployment-of-social-nets-in-multilayer-model-to-identify-key-in-2018.pdf http://irep.iium.edu.my/159/7/159_Deployment%20of%20social%20nets%20in%20multilayer%20model_scopus.pdf http://irep.iium.edu.my/159/13/159_eployment%20of%20social%20nets%20in%20multilayer%20model_wos.pdf http://irep.iium.edu.my/159/ https://link.springer.com/article/10.1007/s10115-018-1187-9
_version_	1672610055919239168
score	13.211869

Deployment of social nets in multilayer model to identify key individuals using majority voting

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