Title
Dynamics of deceptive interactions in social networks.
Abstract
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.
Year
DOI
Venue
2015
10.1098/rsif.2015.0798
JOURNAL OF THE ROYAL SOCIETY INTERFACE
Keywords
Field
DocType
social networks,anthropology,self-organized systems,mathematical modelling
Social relation,Data science,Opinion formation,Social network,Social behaviour,Computer science,Cognitive psychology,Human interaction,Artificial intelligence,Centrality,Public opinion,Machine learning,Salient
Journal
Volume
Issue
ISSN
12
112
1742-5689
Citations 
PageRank 
References 
3
0.38
6
Authors
5
Name
Order
Citations
PageRank
Rafael A. Barrio161.62
Tzipe Govezensky230.38
R.I.M. Dunbar3464.40
Gerardo Iñiguez4707.33
Kimmo Kaski5101.01