Relation mining using cross correlation of multi domain social networks

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...

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Main Authors:	Noor, Fozia, Shah, Asadullah, Ahmad Khan, Shoab
Format:	Conference or Workshop Item
Language:	English English English English
Published:	2015
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/48791/ http://irep.iium.edu.my/48791/ http://irep.iium.edu.my/48791/4/Relation_Mining_using_Cross_Correlation_of_Multi_Domain_Social_Networks-front_cover.pdf http://irep.iium.edu.my/48791/5/verso_page_asadullah.pdf http://irep.iium.edu.my/48791/6/toc_asadullah.pdf http://irep.iium.edu.my/48791/1/fozia-paper2015.pdf

id	iium-48791
recordtype	eprints
spelling	iium-487912018-06-21T07:07:13Z http://irep.iium.edu.my/48791/ Relation mining using cross correlation of multi domain social networks Noor, Fozia Shah, Asadullah Ahmad Khan, Shoab T10.5 Communication of technical information 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. 2015-11-02 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/48791/4/Relation_Mining_using_Cross_Correlation_of_Multi_Domain_Social_Networks-front_cover.pdf application/pdf en http://irep.iium.edu.my/48791/5/verso_page_asadullah.pdf application/pdf en http://irep.iium.edu.my/48791/6/toc_asadullah.pdf application/pdf en http://irep.iium.edu.my/48791/1/fozia-paper2015.pdf 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. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7361250&newsearch=true&queryText=Relation%20Mining%20using%20Cross%20Correlation%20of%20Multi%20Domain%20Social%20Networks
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English English
topic	T10.5 Communication of technical information
spellingShingle	T10.5 Communication of technical information Noor, Fozia Shah, Asadullah Ahmad Khan, Shoab Relation mining using cross correlation of multi domain social networks
description	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.
format	Conference or Workshop Item
author	Noor, Fozia Shah, Asadullah Ahmad Khan, Shoab
author_facet	Noor, Fozia Shah, Asadullah Ahmad Khan, Shoab
author_sort	Noor, Fozia
title	Relation mining using cross correlation of multi domain social networks
title_short	Relation mining using cross correlation of multi domain social networks
title_full	Relation mining using cross correlation of multi domain social networks
title_fullStr	Relation mining using cross correlation of multi domain social networks
title_full_unstemmed	Relation mining using cross correlation of multi domain social networks
title_sort	relation mining using cross correlation of multi domain social networks
publishDate	2015
url	http://irep.iium.edu.my/48791/ http://irep.iium.edu.my/48791/ http://irep.iium.edu.my/48791/4/Relation_Mining_using_Cross_Correlation_of_Multi_Domain_Social_Networks-front_cover.pdf http://irep.iium.edu.my/48791/5/verso_page_asadullah.pdf http://irep.iium.edu.my/48791/6/toc_asadullah.pdf http://irep.iium.edu.my/48791/1/fozia-paper2015.pdf
first_indexed	2023-09-18T21:09:08Z
last_indexed	2023-09-18T21:09:08Z
_version_	1777411134700126208

Relation mining using cross correlation of multi domain social networks

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