Modeling the Role of Networks and Individual Differences in Inter-Group Violence.

There is significant heterogeneity within and between populations in their propensity to engage in conflict. Most research has neglected the role of within-group effects in social networks in contributing to between-group violence and focused instead on the precursors and consequences of violence, o...

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Main Authors: Alexander Isakov, Amelia Holcomb, Luke Glowacki, Nicholas A Christakis
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4735492?pdf=render
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spelling doaj-31b901a9be0b41e4b866652f63bcd77d2020-11-25T01:25:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01112e014831410.1371/journal.pone.0148314Modeling the Role of Networks and Individual Differences in Inter-Group Violence.Alexander IsakovAmelia HolcombLuke GlowackiNicholas A ChristakisThere is significant heterogeneity within and between populations in their propensity to engage in conflict. Most research has neglected the role of within-group effects in social networks in contributing to between-group violence and focused instead on the precursors and consequences of violence, or on the role of between-group ties. Here, we explore the role of individual variation and of network structure within a population in promoting and inhibiting group violence towards other populations. Motivated by ethnographic observations of collective behavior in a small-scale society, we describe a model with differentiated roles for individuals embedded within friendship networks. Using a simple model based on voting-like dynamics, we explore several strategies for influencing group-level behavior. When we consider changing population level attitude changes and introducing control nodes separately, we find that a particularly effective control strategy relies on exploiting network degree. We also suggest refinements to our model such as tracking fine-grained information spread dynamics that can lead to further enrichment in using evolutionary game theory models for sociological phenomena.http://europepmc.org/articles/PMC4735492?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Alexander Isakov
Amelia Holcomb
Luke Glowacki
Nicholas A Christakis
spellingShingle Alexander Isakov
Amelia Holcomb
Luke Glowacki
Nicholas A Christakis
Modeling the Role of Networks and Individual Differences in Inter-Group Violence.
PLoS ONE
author_facet Alexander Isakov
Amelia Holcomb
Luke Glowacki
Nicholas A Christakis
author_sort Alexander Isakov
title Modeling the Role of Networks and Individual Differences in Inter-Group Violence.
title_short Modeling the Role of Networks and Individual Differences in Inter-Group Violence.
title_full Modeling the Role of Networks and Individual Differences in Inter-Group Violence.
title_fullStr Modeling the Role of Networks and Individual Differences in Inter-Group Violence.
title_full_unstemmed Modeling the Role of Networks and Individual Differences in Inter-Group Violence.
title_sort modeling the role of networks and individual differences in inter-group violence.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description There is significant heterogeneity within and between populations in their propensity to engage in conflict. Most research has neglected the role of within-group effects in social networks in contributing to between-group violence and focused instead on the precursors and consequences of violence, or on the role of between-group ties. Here, we explore the role of individual variation and of network structure within a population in promoting and inhibiting group violence towards other populations. Motivated by ethnographic observations of collective behavior in a small-scale society, we describe a model with differentiated roles for individuals embedded within friendship networks. Using a simple model based on voting-like dynamics, we explore several strategies for influencing group-level behavior. When we consider changing population level attitude changes and introducing control nodes separately, we find that a particularly effective control strategy relies on exploiting network degree. We also suggest refinements to our model such as tracking fine-grained information spread dynamics that can lead to further enrichment in using evolutionary game theory models for sociological phenomena.
url http://europepmc.org/articles/PMC4735492?pdf=render
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