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Iain Cruickshank

Biographic Data

ID1494623
NAMEIain Cruickshank
GIVEN NAMESIain
FAMILY NAMECruickshank
SIGNATURECRUICKSHANK I
AFFILIATIONSCarnegie Mellon University
ORCID0000-0002-4205-5806
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS3
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Multi-Modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations

    Gian Maria Campedelli, Iain Cruickshank et al.•ARTICLE•Terrorism and Political Violence•2023

    Capturing dynamics of operational similarity among terrorist groups is critical to provide actionable insights for counter-terrorism and intelligence monitoring. Yet, in spite of its theoretical and practical relevance, research addressing this problem is currently lacking. We tackle this problem proposing a novel computational framework for detecting clusters of terrorist groups sharing similar behaviors, focusing on groups’ yearly repertoire of…

  • Cross-platform information spread during the January 6th capitol riots

    Open Access•Lynnette Hui Xian Ng, Iain Cruickshank et al.•ARTICLE•Social Network Analysis and Mining•2022•Cited by: 3•References: 34

    Social media has become an integral component of the modern information system. An average person typically has multiple accounts across different platforms. At the same time, the rise of social media facilitates the spread of online mis/disinformation narratives within and across these platforms. In this study, we characterize the coordinated information dissemination of information laden with mis- and disinformation narratives within and across…

  • Cross-platform information spread during the January 6th capitol riots

    Open Access•Lynnette Hui Xian Ng, Iain Cruickshank et al.•ARTICLE•Social Network Analysis and Mining•2022•Cited by: 3•References: 34

    Social media has become an integral component of the modern information system. An average person typically has multiple accounts across different platforms. At the same time, the rise of social media facilitates the spread of online mis/disinformation narratives within and across these platforms. In this study, we characterize the coordinated information dissemination of information laden with mis- and disinformation narratives within and across…

  • Cross-platform information spread during the January 6th capitol riots

    Open Access•Lynnette Hui Xian Ng, Iain Cruickshank et al.•ARTICLE•Social Network Analysis and Mining•2022•Cited by: 3•References: 34

    Social media has become an integral component of the modern information system. An average person typically has multiple accounts across different platforms. At the same time, the rise of social media facilitates the spread of online mis/disinformation narratives within and across these platforms. In this study, we characterize the coordinated information dissemination of information laden with mis- and disinformation narratives within and across…

  • Multi-Modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations

    Gian Maria Campedelli, Iain Cruickshank et al.•ARTICLE•Terrorism and Political Violence•2023

    Capturing dynamics of operational similarity among terrorist groups is critical to provide actionable insights for counter-terrorism and intelligence monitoring. Yet, in spite of its theoretical and practical relevance, research addressing this problem is currently lacking. We tackle this problem proposing a novel computational framework for detecting clusters of terrorist groups sharing similar behaviors, focusing on groups’ yearly repertoire of…

Artificial Intelligence (2 works) · Computer Science (2 works) · Cluster analysis (1 work) · Complex Network Analysis Techniques (1 work) · Computer security (1 work) · Crime, Illicit Activities, and Governance (1 work) · Disinformation (1 work) · Group cohesiveness (1 work) · Hash function (1 work) · Homophily (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae