Modeling Terrorist Networks, Complex Systems at the Mid-range

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📝 Original Info

  • Title: Modeling Terrorist Networks, Complex Systems at the Mid-range
  • ArXiv ID: 1405.6989
  • Date: 2014-05-28
  • Authors: Researchers from original ArXiv paper

📝 Abstract

In this paper, we develop the themes presented at the 2003 Joint Complexity Conference at the London School of Economics and subsequently published in The Intelligencer (2004) and O Tempo Das Redes (2008). Following the data analysis of the 9/11 high-jacker network developed by Valdis Krebs from open sources, we apply social network theory to examine salient arguments regarding terrorism as seen from the standpoint of complex adaptive systems theory. In particular, we explore the concepts of group cohesion, adhesion and alternative network mappings derived from node removal.

💡 Deep Analysis

Deep Dive into Modeling Terrorist Networks, Complex Systems at the Mid-range.

In this paper, we develop the themes presented at the 2003 Joint Complexity Conference at the London School of Economics and subsequently published in The Intelligencer (2004) and O Tempo Das Redes (2008). Following the data analysis of the 9/11 high-jacker network developed by Valdis Krebs from open sources, we apply social network theory to examine salient arguments regarding terrorism as seen from the standpoint of complex adaptive systems theory. In particular, we explore the concepts of group cohesion, adhesion and alternative network mappings derived from node removal.

📄 Full Content

In this paper, we develop the themes presented at the 2003 Joint Complexity Conference at the London School of Economics and subsequently published in The Intelligencer (2004) and O Tempo Das Redes (2008). Following the data analysis of the 9/11 high-jacker network developed by Valdis Krebs from open sources, we apply social network theory to examine salient arguments regarding terrorism as seen from the standpoint of complex adaptive systems theory. In particular, we explore the concepts of group cohesion, adhesion and alternative network mappings derived from node removal.

Reference

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