Dynamics of deceptive interactions in social networks

In this paper, we examine the role of lies in human social relations by implementing some salient characteristics of deceptive interactions into an opinion formation model, so as to describe the dynamical behaviour of a social network more realistically. In this model, we take into account such basi...

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Main Authors: Barrio, R, Govezensky, T, Dunbar, R, Iñiguez, G, Kaski, K
פורמט: Journal article
שפה:English
יצא לאור: Royal Society 2015
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author Barrio, R
Govezensky, T
Dunbar, R
Iñiguez, G
Kaski, K
author_facet Barrio, R
Govezensky, T
Dunbar, R
Iñiguez, G
Kaski, K
author_sort Barrio, R
collection OXFORD
description In this paper, we examine the role of lies in human social relations by implementing some salient characteristics of deceptive interactions into an opinion formation model, so as to describe the dynamical behaviour of a social network more realistically. In this model, we take into account such basic properties of social networks as the dynamics of the intensity of interactions, the influence of public opinion and the fact that in every human interaction it might be convenient to deceive or withhold information depending on the instantaneous situation of each individual in the network. We find that lies shape the topology of social networks, especially the formation of tightly linked, small communities with loose connections between them. We also find that agents with a larger proportion of deceptive interactions are the ones that connect communities of different opinion, and, in this sense, they have substantial centrality in the network. We then discuss the consequences of these results for the social behaviour of humans and predict the changes that could arise due to a varying tolerance for lies in society.
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spelling oxford-uuid:58affea4-c5ed-434c-9d16-8a31780090cd2022-03-26T17:05:13ZDynamics of deceptive interactions in social networksJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:58affea4-c5ed-434c-9d16-8a31780090cdEnglishSymplectic Elements at OxfordRoyal Society2015Barrio, RGovezensky, TDunbar, RIñiguez, GKaski, KIn this paper, we examine the role of lies in human social relations by implementing some salient characteristics of deceptive interactions into an opinion formation model, so as to describe the dynamical behaviour of a social network more realistically. In this model, we take into account such basic properties of social networks as the dynamics of the intensity of interactions, the influence of public opinion and the fact that in every human interaction it might be convenient to deceive or withhold information depending on the instantaneous situation of each individual in the network. We find that lies shape the topology of social networks, especially the formation of tightly linked, small communities with loose connections between them. We also find that agents with a larger proportion of deceptive interactions are the ones that connect communities of different opinion, and, in this sense, they have substantial centrality in the network. We then discuss the consequences of these results for the social behaviour of humans and predict the changes that could arise due to a varying tolerance for lies in society.
spellingShingle Barrio, R
Govezensky, T
Dunbar, R
Iñiguez, G
Kaski, K
Dynamics of deceptive interactions in social networks
title Dynamics of deceptive interactions in social networks
title_full Dynamics of deceptive interactions in social networks
title_fullStr Dynamics of deceptive interactions in social networks
title_full_unstemmed Dynamics of deceptive interactions in social networks
title_short Dynamics of deceptive interactions in social networks
title_sort dynamics of deceptive interactions in social networks
work_keys_str_mv AT barrior dynamicsofdeceptiveinteractionsinsocialnetworks
AT govezenskyt dynamicsofdeceptiveinteractionsinsocialnetworks
AT dunbarr dynamicsofdeceptiveinteractionsinsocialnetworks
AT iniguezg dynamicsofdeceptiveinteractionsinsocialnetworks
AT kaskik dynamicsofdeceptiveinteractionsinsocialnetworks