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|a A Behavioral Study of the Radicalization Trajectories of American "Homegrown" Al Qaeda-Inspired Terrorist Offenders, 2001-2015 (UNITED STATES)
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|a [Erscheinungsort nicht ermittelbar]
|b [Verlag nicht ermittelbar]
|c 2016
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|a These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The study aimed to develop and empirically test a dynamic risk assessment model of radicalization process characteristics of homegrown terrorists inspired by Al Qaeda's ideology. The New York Police Department (NYPD) model developed by Mitchell D. Silber and Arvin Bhatt was chosen as the basis for creating a typology of overt and detectable indicators of individual behaviors widely thought to be associated with extremism. Specific behavioral cues associated with each stage of radicalization were coded and used to estimate the sequencing of behaviors and the duration of the average radicalization trajectory. Out of 331 homegrown American Jihadists (Group A), 135 were selected for further examination of their radicalization (Group B). Data were collected from public records ranging from social media postings by the offenders themselves to evidence introduced in the adjudication of the offenses for which the offenders were incarcerated. Life histories were compiled for Group B, whose detailed biographies were used to chart the timelines of their radicalization trajectories. The collection includes an Excel file which contains one data table for Group A (10 variables, n=331) and two data tables for Group B (32 variables, n=135 and 5 variables, n=135, respectively). An accompanying codebook file details the variables in these tables. There is also a document with approximately 1 page narratives for each of the 135 individuals in Group B. A file containing a key indicating the names of the subjects is not available with this collection.
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|a al Qaeda
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| 650 |
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4 |
|a Radicalism
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| 650 |
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4 |
|a Terrorism
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| 650 |
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4 |
|a terrorist profiles
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| 650 |
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4 |
|a terrorist prosecution
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|a terrorists
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0 |
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|i Forschungsdaten zu
|a Murmudalige, Shashika R.
|t Automating Investigative Pattern Detection Using Machine Learning and Graph Pattern Matching Techniques
|d [Erscheinungsort nicht ermittelbar] : Colorado State University, 2022
|w (DE-627)1912465566
|
| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Klausen, Jytte, 1954 -
|t A Behavioral Study of the Radicalization Trajectories of American 'Homegrown' Al Qaeda-Inspired Terrorist Offenders
|d 2016
|w (DE-627)1912466988
|
| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Hung, Benjamin W.K.
|t Detecting radicalization trajectories using graph pattern matching algorithms
|d Institute of Electrical and Electronic Engineers, 2016
|w (DE-627)1912509881
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Muramudalige, Shashika R.
|t A feature mapping technique for complex data object generation with likelihood and deep generative approaches
|d 2023
|w (DE-627)1912556952
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Hung, Benjamin W.K.
|t A Graph-Based, Systems Approach for Detecting Violent Extremist Radicalization Trajectories and Other Latent Behaviors
|d [Erscheinungsort nicht ermittelbar] : Colorado State University, 2017
|w (DE-627)1912568896
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Smith, Allison G.
|t How Radicalization to Terrorism Occurs in the United States: What Research Sponsored by the National Institute of Justice Tells Us
|d [Erscheinungsort nicht ermittelbar] : National Institute of Justice, 2018
|w (DE-627)1912578050
|
| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Hung, Benjamin W.K.
|t INSiGHT: A system for detecting radicalization trajectories in large heterogeneous graphs
|d Institute of Electrical and Electronics Engineers, 2017
|w (DE-627)1912593181
|
| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Hung, Benjamin W.K.
|t INSiGHT: A system to detect violent extremist radicalization trajectories in dynamic graphs
|d 2018
|w (DE-627)191259319X
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Klausen, Jytte, 1954 -
|t Radicalization trajectories: An evidence-based computational approach to dynamic risk assessment of 'homegrown' jihadists
|d 2019
|w (DE-627)191267680X
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| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Hung, Benjamin W.K.
|t Recognizing radicalization indicators in text documents using human-in-the-loop information extraction and NLP techniques
|d Institute of Electrical and Electronics Engineers, 2019
|w (DE-627)1912679094
|
| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Klausen, Jytte, 1954 -
|t Research note: Toward a behavioral model of 'homegrown' radicalization trajectories
|d 2016
|w (DE-627)1912687038
|
| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Klausen, Jytte, 1954 -
|t The terrorist age-crime curve: An analysis of American Islamist terrorist offenders and age-specific propensity for participation in violent and nonviolent incidents
|d 2016
|w (DE-627)1912722488
|
| 787 |
0 |
8 |
|i Forschungsdaten zu
|a Klausen, Jytte, 1954 -
|t Toward a behavioral model of 'homegrown' radicalization trajectories
|d 2016
|w (DE-627)1912726238
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