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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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 |
work_keys_str_mv |
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