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Combining Entity Matching Techniques for Detecting Extremist Behavior on Discussion Boards
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9424-1272
FOI, Stockholm, Sweden.
FOI, Stockholm, Sweden.
FOI, Stockholm, Sweden.
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2012 (English)In: Advances in Social Networks Analysis and Mining (ASONAM), 2012, IEEE , 2012, 850-857 p.Conference paper, Published paper (Refereed)
Abstract [en]

Many extremist groups and terrorists use the Web for various purposes such as exchanging and reinforcing their beliefs, making monitoring and analysis of discussion boards an important task for intelligence analysts in order to detect individuals that might pose a threat towards society. In this work we focus on how to automatically analyze discussion boards in an effective manner. More specifically, we propose a method for fusing several alias (entity) matching techniques, that can be used to identify authors with multiple aliases. This is one part of a larger system, where the aim is to provide the analyst with a list of potential extremist worth investigating further.

Place, publisher, year, edition, pages
IEEE , 2012. 850-857 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-96521DOI: 10.1109/ASONAM.2012.154ISI: 000320443500137ISBN: 978-1-4673-2497-7 (print)ISBN: 978-0-7695-4799-2 (print)OAI: oai:DiVA.org:liu-96521DiVA: diva2:642357
Conference
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), 26-29 August 2012, Istanbul, Turkey
Available from: 2013-08-21 Created: 2013-08-20 Last updated: 2016-05-04Bibliographically approved

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Dahlin, Johan

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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