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 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.
Instituto de Física, Universidad Nacional Autónoma de México, 01000 México DF, Mexico Department of Computer Science, Aalto University School of Science, 00076 Aalto, Finland.
Rafael A
RA
Barrio
Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510 México DF, Mexico.
Tzipe
T
Govezensky
Department of Computer Science, Aalto University School of Science, 00076 Aalto, Finland Department of Experimental Psychology, University of Oxford, Oxford OX1 3UD, UK.
Robin
R
Dunbar
Department of Computer Science, Aalto University School of Science, 00076 Aalto, Finland Centro de Investigación y Docencia Económicas, Consejo Nacional de Ciencia y Tecnología, 01210 México DF, Mexico gerardo.iniguez@cide.edu.
Gerardo
http://orcid.org/0000-0001-7181-5520
G
Iñiguez
Department of Computer Science, Aalto University School of Science, 00076 Aalto, Finland Department of Experimental Psychology, University of Oxford, Oxford OX1 3UD, UK CABDyN Complexity Centre, Said Business School, University of Oxford, Oxford OX1 1HP, UK Center for Complex Network Research (CCNR), Department of Physics, Northeastern University, Boston, MA 02115, USA.
Kimmo
K
Kaski
D006801:Humans; D008962:Models, Theoretical; D012919:Social Behavior; D012944:Social Support
anthropology; mathematical modelling; self-organized systems; social networks