Social environment and social clustering in spread of opinions in co-evolving networks
Nishant Malik, UNC (Mathematics)
Taking a pragmatic approach to the processes involved in the phenomena of collective opinion formation, first we investigate two specific modifications to the co-evolving network voter model with multiple opinions. (i) We replace the rewiring probability parameter by a distribution of probability of accepting or rejecting opinions between individuals, accounting for the asymmetric influences in relationships among individuals in a social group. (ii) 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 the simulations of this model. Our findings indicate that reinforcement of clustering in a voter model can have significant ramifications. To further explore the consequences of the presence of non-trivial clustering in voter model on co-evolving networks, we have studied a simplified version of the above model. Here, we consider only two opinions with a new parameter for dynamic updating of clustering. Simplicity of this model allows us to study it analytically as well. A comparison of our simulations with analytical results will also be presented.
October, 20 2014 | 12:30 - 14:00 | Gross Hall 230E