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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English English |
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Springer London
2019
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| Online Access: | http://irep.iium.edu.my/159/ 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 |
| _version_ | 1848775667233062912 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:17:50Z |
| format | Article |
| id | iium-159 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T14:17:50Z |
| publishDate | 2019 |
| publisher | Springer London |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) T10.5 Communication of technical information T173.2 Technological change |
| url | http://irep.iium.edu.my/159/ http://irep.iium.edu.my/159/ http://irep.iium.edu.my/159/ 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 |