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Luke M Gerdes

Biographic Data

ID4164066
NAMELuke M Gerdes
GIVEN NAMESLuke M
FAMILY NAMEGerdes
SIGNATUREGERDES L M
AFFILIATIONSUnited States Military Academy
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS4
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2014
H-INDEX1
  • Mapping dark networks

    Open Access•Luke M Gerdes•ARTICLE•Network Science•2014•Cited by: 3•References: 11

    There is a growing consensus that dark networks require special methodological considerations, but little attention has been devoted to determining which data transformation processes are best suited to the study of dark networks. Standard approaches to the transformation of multi-modal data “fold” matrices, by binarizing the network and multiplying it against its transpose. Unfortunately, this process produces exaggerated results when applied to…

  • Assessing the Abu Sayyaf Group's Strategic and Learning Capacities

    Luke M Gerdes, Kristine Ringler et al.•ARTICLE•Studies in Conflict and Terrorism•2013•Cited by: 1

    It remains unclear whether the Abu Sayyaf Group (ASG) is a well-structured terror organization that poses a strategic threat, or a loosely organized collection of bandits that poses limited risk. Efforts to assess the nature of the organization are complicated by flaws in existing datasets on Violent Non-State Actors (VNSAs). ASG's role in kidnappings serves as a test-case to estimate incongruities among four major datasets on VNSAs. Original dat…

  • Mapping dark networks

    Open Access•Luke M Gerdes•ARTICLE•Network Science•2014•Cited by: 3•References: 11

    There is a growing consensus that dark networks require special methodological considerations, but little attention has been devoted to determining which data transformation processes are best suited to the study of dark networks. Standard approaches to the transformation of multi-modal data “fold” matrices, by binarizing the network and multiplying it against its transpose. Unfortunately, this process produces exaggerated results when applied to…

  • Assessing the Abu Sayyaf Group's Strategic and Learning Capacities

    Luke M Gerdes, Kristine Ringler et al.•ARTICLE•Studies in Conflict and Terrorism•2013•Cited by: 1

    It remains unclear whether the Abu Sayyaf Group (ASG) is a well-structured terror organization that poses a strategic threat, or a loosely organized collection of bandits that poses limited risk. Efforts to assess the nature of the organization are complicated by flaws in existing datasets on Violent Non-State Actors (VNSAs). ASG's role in kidnappings serves as a test-case to estimate incongruities among four major datasets on VNSAs. Original dat…

  • Assessing the Abu Sayyaf Group's Strategic and Learning Capacities

    Luke M Gerdes, Kristine Ringler et al.•ARTICLE•Studies in Conflict and Terrorism•2013•Cited by: 1

    It remains unclear whether the Abu Sayyaf Group (ASG) is a well-structured terror organization that poses a strategic threat, or a loosely organized collection of bandits that poses limited risk. Efforts to assess the nature of the organization are complicated by flaws in existing datasets on Violent Non-State Actors (VNSAs). ASG's role in kidnappings serves as a test-case to estimate incongruities among four major datasets on VNSAs. Original dat…

  • Mapping dark networks

    Open Access•Luke M Gerdes•ARTICLE•Network Science•2014•Cited by: 3•References: 11

    There is a growing consensus that dark networks require special methodological considerations, but little attention has been devoted to determining which data transformation processes are best suited to the study of dark networks. Standard approaches to the transformation of multi-modal data “fold” matrices, by binarizing the network and multiplying it against its transpose. Unfortunately, this process produces exaggerated results when applied to…

Algorithm (1 work) · Ambiguity (1 work) · Artificial Intelligence (1 work) · Centrality (1 work) · Chemistry (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Context (archaeology (1 work) · Crime, Illicit Activities, and Governance (1 work) · Data mining (1 work)

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