title: Role of social environment and social clustering in spread of opinions in coevolving networks.
abstract: Taking a pragmatic approach to the processes involved in the phenomena of collective opinion formation, we investigate two specific modifications to the coevolving network voter model of opinion formation studied by Holme and Newman [Phys. Rev. E 74, 056108 (2006)]. First, we replace the rewiring probability parameter by a distribution of probability of accepting or rejecting opinions between individuals, accounting for heterogeneity and asymmetric influences in relationships between individuals. Second, we modify the rewiring step by a path-length-based preference for rewiring that reinforces local clustering. We have investigated the influences of these modifications on the outcomes of simulations of this model. We found that varying the shape of the distribution of probability of accepting or rejecting opinions can lead to the emergence of two qualitatively distinct final states, one having several isolated connected components each in internal consensus, allowing for the existence of diverse opinions, and the other having a single dominant connected component with each node within that dominant component having the same opinion. Furthermore, more importantly, we found that the initial clustering in the network can also induce similar transitions. Our investigation also indicates that these transitions are governed by a weak and complex dependence on system size. We found that the networks in the final states of the model have rich structural properties including the small world property for some parameter regimes.
authors.affiliation: Department of Mathematics, CB 3250, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
authors.forename: Nishant
authors.initials: N
authors.lastname: Malik
authors.affiliation: Department of Mathematics, CB 3250, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Mucha
mesh_terms: D000818:Animals; D006801:Humans; D008954:Models, Biological; D016571:Neural Networks, Computer; D012919:Social Behavior