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Dynamics of Asymmetric Conflict: Pathways toward terrorism and genocide
Journal Prestige (SJR): 0.121
Citation Impact (citeScore): 1
Number of Followers: 11  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1746-7586 - ISSN (Online) 1746-7594
Published by Taylor and Francis Homepage  [2652 journals]
  • Insurgent and terrorist groups’ participation in politics reduces
           violence

    • Free pre-print version: Loading...

      Authors: Michelle Black, Rula Jabbour
      Pages: 1 - 18
      Abstract: .

      Citation: Dynamics of Asymmetric Conflict
      PubDate: 2023-03-01T02:42:57Z
      DOI: 10.1080/17467586.2023.2182445
       
  • Why do some terrorist campaigns escalate to civil wars but others do
           not'

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      Authors: Ibrahim Kocaman, Isa Haskologlu, Mustafa Kirisci
      Pages: 1 - 24
      Abstract: .

      Citation: Dynamics of Asymmetric Conflict
      PubDate: 2023-02-26T07:28:44Z
      DOI: 10.1080/17467586.2023.2182446
       
  • Letter from the Editor

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      Authors: Anthony F. Lemieux
      Pages: 189 - 189
      Abstract: Volume 15, Issue 3, November 2022, Page 189-189
      .

      Citation: Dynamics of Asymmetric Conflict
      PubDate: 2022-12-26T06:47:47Z
      DOI: 10.1080/17467586.2022.2160690
      Issue No: Vol. 15, No. 3 (2022)
       
  • Assessing equifinality in Islamic extremist pathways using fsQCA

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      Authors: Wesley S. McCann
      Pages: 1 - 31
      Abstract: .

      Citation: Dynamics of Asymmetric Conflict
      PubDate: 2022-11-28T06:37:52Z
      DOI: 10.1080/17467586.2022.2150782
       
  • Oppression and resistance – uncovering the relations between anger,
           humiliation and violent collective action in asymmetric intergroup
           conflict

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      Authors: Oliver Fink, Oded Adomi Leshem, Eran Halperin
      Pages: 1 - 14
      Abstract: .

      Citation: Dynamics of Asymmetric Conflict
      PubDate: 2022-08-25T05:54:57Z
      DOI: 10.1080/17467586.2022.2112408
       
  • The nexus between information disorder and terrorism: a mix of machine
           learning approach and content analysis on 39 terror attacks

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      Authors: Xingyu Ken Chen, Loo Seng Neo, Anais Ang, Jing Yi Lee, Gabriel Ong, Majeed Khader
      Pages: 1 - 20
      Abstract: .

      Citation: Dynamics of Asymmetric Conflict
      PubDate: 2022-03-30T11:19:06Z
      DOI: 10.1080/17467586.2022.2055097
       
 
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