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Social network analysis in violence reduction

Social network analysis in violence reduction. MSc Social and Organisational Psychology College of Life & Environmental Sciences University of Exeter Anastasiia Kovalenko. Area: Violence regulation.

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Social network analysis in violence reduction

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  1. Social network analysis in violence reduction MSc Social and Organisational Psychology College of Life & Environmental Sciences University of Exeter Anastasiia Kovalenko

  2. Area: Violence regulation. • Hypothesis: There is a relationship between group structure and the outcome of an aggressive incident • Keywords: Violence, violence reduction, aggression, social network analysis, group structure, social behaviour.

  3. Violence may result from: • the release of aggressive energy that has built up endogenously (Lorenz, 1967) • the failure of parental control (Tremblay, 2006) • an adaptive function that facilitates sexual selection (Archer, 2009). • For aggression to escalate into violence, important barriers need to be overcome. • Third parties can promote prosocial as well as antisocial behaviour (Postmes & Spears, 1998).

  4. At a behavioural level, third parties serve to inhibit the likelihood of violence (Levine, Taylor & Best, 2011). • Social network analysis - the mapping and measuring of flows and relationships between interacting units. To explore the role of physical contact in violence reduction, we will: • conduct a behavioural analysis of footage from CCTV of public places, • construct and analyse social networks.

  5. MethodData • 42 CCTV clips • 1-8 min • specific criteria: • continuous. • argument or fight. • third parties. • a sequence of at least 20 behaviours. • no police officers, community wardens, or door security personnel.

  6. Coding • Identifying the perpetrator, the victim, and the third parties • Behaviours: pushing, patting, grasping, holding, kicking, punching, and kissing. • Coding the behavioural contribution of each actor, victim, and where the behaviour fell in the sequence of acts • Sequence of behavioural codes for each incident.

  7. Social network analysis • UCINet software • networks for each group of people on each CCTV clip actors will be displayed as nodes (dots); their relations (touch in each clip) will be displayed as ties (lines) strength of relationships - tie thickness centrality of a node

  8. Results and discussion • Exploratory analysis • May find the evidence that a particular structure and amount of touch may lead to a non-violent outcome • Limitations: • quality of the clips • measuring distance • alcohol • interpretation of touch • gender differences

  9. Thank you for attention!

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