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

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

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Page 1: Social network analysis in violence reduction

Social network analysis in violence reduction

MSc Social and Organisational PsychologyCollege of Life & Environmental Sciences

University of ExeterAnastasiia Kovalenko

Page 2: Social network analysis in violence reduction

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.

Page 3: Social network analysis in violence reduction

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).

Page 4: Social network analysis in violence reduction

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:

(1)conduct a behavioural analysis of footage from CCTV of public places,

(2)construct and analyse social networks.

Page 5: Social network analysis in violence reduction

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.

Page 6: Social network analysis in violence reduction

Coding1. Identifying the perpetrator, the victim, and the third

parties

2. Behaviours: pushing, patting, grasping, holding, kicking, punching, and kissing.

3. Coding the behavioural contribution of each actor, victim, and where the behaviour fell in the sequence of acts

4. Sequence of behavioural codes for each incident.

Page 7: Social network analysis in violence reduction

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

Page 8: Social network analysis in violence reduction

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

Page 9: Social network analysis in violence reduction

Thank you for attention!


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