Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/38915
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dc.coverage.spatialEffective behavioral and relational Analysis for pivot actor tagging in Clandestine social networken_US
dc.date.accessioned2015-04-10T05:09:08Z-
dc.date.available2015-04-10T05:09:08Z-
dc.date.issued2015-04-10-
dc.identifier.urihttp://hdl.handle.net/10603/38915-
dc.description.abstractTerrorism is considered to be a violent act which in the name of newlinereligion creates fear among the innocent people Terrorist networks are newlineamorphous invisible resilient dispersed in other words difficult to visualize newlinetheir real structure This community is seen as a social network with a lot of newlinesecrecy and influence Social Network Analysis has a wide spread range of newlineuses from semantic analysis to disrupting clandestine organizations newlineSocial Network Analysis primarily focuses on judging the newlineimportance or status of the actors in the social network The actors could be newlinecharacterized based on their capacity to either maximally influence the newlinenetwork called as pivot tellers or maximally fragment the network called as newlinepivot isolators The attribute of an actor depend on the interestingness the newlineknowledge set the actor posses and the various roles assigned to them The newlinenetwork analysis strongly believes that actors are dependent on one another newlinebased on the relationship they share among themselves But the strength of newlinerelationships between actors in social networks need not be always equal as it newlinevaries from strong familial like relationships to weak casual relationships newline newlineen_US
dc.format.extentxviii, 182p.en_US
dc.languageEnglishen_US
dc.relationp173-181.en_US
dc.rightsuniversityen_US
dc.titleEffective behavioral and relational Analysis for pivot actor tagging in Clandestine social networken_US
dc.title.alternativeen_US
dc.creator.researcherKarthika Sen_US
dc.subject.keywordSocial Network Analysisen_US
dc.subject.keywordTerrorist networksen_US
dc.description.noteappendix p169-172, reference p173-181.en_US
dc.contributor.guideBose Sen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d,en_US
dc.date.completed01/07/2014en_US
dc.date.awarded30/07/2014en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf1.78 MBAdobe PDFView/Open
03_abstract.pdf27.96 kBAdobe PDFView/Open
04_acknowledgement.pdf20.55 kBAdobe PDFView/Open
05_content.pdf59.07 kBAdobe PDFView/Open
06_chapter1.pdf152.46 kBAdobe PDFView/Open
07_chapter2.pdf222.04 kBAdobe PDFView/Open
08_chapter3.pdf123.56 kBAdobe PDFView/Open
09_chapter4.pdf991.78 kBAdobe PDFView/Open
10_chapter5.pdf138.55 kBAdobe PDFView/Open
11_chapter6.pdf1.01 MBAdobe PDFView/Open
12_chapter7.pdf24.52 kBAdobe PDFView/Open
13_appendix.pdf28.67 kBAdobe PDFView/Open
14_reference.pdf52.11 kBAdobe PDFView/Open
15_publication.pdf20.96 kBAdobe PDFView/Open


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