Relation mining using cross correlation of multi domain social networks

Noor, Fozia and Shah, Asadullah and Ahmad Khan, Shoab (2015) Relation mining using cross correlation of multi domain social networks. In: SAI Intelligent Systems Conference (IntelliSys), 2015, 10-11 November 2015, London, United Kingdom.

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Abstract

Social network analysis has emerged as an important research area in intelligence analysis to facilitate decision maker in more informed decisions. With the passage of time social networks services are increasingly being used in legal and criminal investigations including understanding and tracking of dark networks, i.e. illegal covert networks. Criminal organizations are well-suited to be studied using social network analysis as they consist of networks of individuals that span countries and continent using false identities over different networks to remain anonymous. There is great need to recognize the criminals carrying different fake identities to correctly track their immoral activities. This research article is focusing on devising a method which can be used to identify group of people i.e. criminals, terrorist or friends on different Social networks by analyzing patterns and performing correlations across different social network systems. Data integration using cross correlation is used to merge entities to form single focused networks. This single focused network also estimate the intensity of relationship between individuals in general networks based on the number of networks they are connected. To the best of our knowledge no such studies is done in the social network analysis, therefore this method is unique and offers innovations in making effective use of presence of people in different networks.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6566/48791
Uncontrolled Keywords:	Actor Identification Fused Network Formation Relation Mining Social Network Analysis
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 Jan 2016 10:30
Last Modified:	18 Jan 2021 13:57
URI:	http://irep.iium.edu.my/id/eprint/48791

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