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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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Using social network analysis to examine gun violence.

Lexi M Gill1, Andrew M Fox2

  • 1University of South Florida, Tampa, Florida, USA.

Journal of Forensic Sciences
|September 7, 2022
PubMed
Summary
This summary is machine-generated.

Gun violence spreads through social networks, similar to a contagion. Analyzing ballistic evidence reveals interconnectedness between firearm incidents and individuals, aiding law enforcement in violence prevention.

Keywords:
NIBINballistic evidencefirearmsgun violencesocial contagionsocial network analysis

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Area of Science:

  • Criminology
  • Public Health
  • Network Science

Background:

  • Gun violence is recognized as a social contagion, spreading between individuals.
  • Previous social network analysis of gun violence primarily used coarrest and incident report data.
  • Ballistic evidence offers an underutilized data source for understanding violence networks.

Purpose of the Study:

  • To identify drivers of gun violence.
  • To examine network concentration within gun violence.
  • To explore the utility of ballistic evidence in social network analysis of gun violence.

Main Methods:

  • Utilized National Integrated Ballistic Information Network (NIBIN) leads and incident reports from a Pacific Northwest urban county (2015-2017).
  • Applied social network analysis to NIBIN data to map connections between incidents involving the same firearm.
  • Conducted social network analysis to identify individuals most involved in gun violence.

Main Results:

  • Gun violence demonstrates significant interconnectedness, with numerous firearms linked to multiple incidents and individuals.
  • Ballistic evidence revealed direct connections between individuals through shared firearm usage.
  • Identified key individuals integral to gun violence networks.

Conclusions:

  • Ballistic evidence provides richer insights into gun violence and firearm transfer than traditional data sources alone.
  • Social network analysis of ballistic data is valuable for law enforcement in identifying and disrupting violence networks.
  • Findings support targeted prevention and intervention strategies for gun violence.