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Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON
GjøVik University College, Norway.
GjøVik University College, Norway.
GjøVik University College, Norway.
GjøVik University College, Norway.ORCID iD: 0000-0001-7520-695x
2015 (English)In: Social Computing and Social Media. SCSM 2015, Los Angeles: Springer, 2015, p. 148-157Conference paper, Published paper (Refereed)
Abstract [en]

Analysing users’ behaviour and social activity for investigating suspects is an area of great interest nowadays, particularly investigating the activities of users on Online Social Networks (OSNs) for crimes. The criminal activity analysis provides a useful source of information for law enforcement and intelligence agencies across the globe. Current approaches dealing with the social criminal activity analysis mainly rely on the contextual analysis of data using only co-occurrence of terms appearing in a document to find the relationship between criminal activities in a network. In this paper, we propose a model for automated social network analysis in order to assist law enforcement and intelligence agencies to predict whether a user is a possible suspect or not. The model uses web crawlers suited to retrieve users’ data such as posts, feeds, comments, etc., and exploits them semantically and contextually using an ontology enhancement objective metric SEMCON. The output of the model is a probability value of a user being a suspect which is computed by finding the similarity between the terms obtained from the SEMCON and the concepts of criminal ontology. An experiment on analysing the public information of 20 Facebook users is conducted to evaluate the proposed model.

Place, publisher, year, edition, pages
Los Angeles: Springer, 2015. p. 148-157
Series
Lecture Notes in Computer Science ; 9182
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:lnu:diva-67459DOI: 10.1007/978-3-319-20367-6_16ISBN: 9783319203669 (print)OAI: oai:DiVA.org:lnu-67459DiVA, id: diva2:1136427
Conference
17th International Conference on Social Computing and Social Media, SCSM 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015, Los Angeles, United States, 2-7 August 2015
Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2017-09-18Bibliographically approved

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Publisher's full texthttps://doi.org/10.1007/978-3-319-20367-6_16

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Dalipi, Fisnik

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf