@INPROCEEDINGS{citation, author = {Tay  Stamoulas, Serap and Rathinam , Muruhan }, title = {A Stochastic Binary Opinion Model}, year = {2018}, volume = {2}, pages = {89-89}, publisher = {SETSCI Conference Proceedings}, abstract = {With the development of technology and growth of social networking among individuals, the quantitative study of social dynamics has attracted a great interest from researchers. In this study, we propose a stochastic binary opinion model where agents are considered to hold an opinion of ``yes" or ``no" at each moment. In this model, the number of agents with opinion ``yes" at time t  is considered to be a birth-death process, and the configuration of the opinions at each moment is determined by a probability distribution. The rate an agent changes his/her opinion depends on the influence of the group's current state on the agent, given with a social-impact function, and a scalar self-motivation coefficient. We analyze the stationary probabilities with regard to the social-impact function and the self- motivation coefficient. We present numerical results showing the cases of the dominance of an opinion as well as of balanced opinions.   }, doi = {}, }

TY - CONF AU - Tay  Stamoulas, Serap AU - Rathinam , Muruhan  TI - A Stochastic Binary Opinion Model PY - 2018 PB - SETSCI Conference Proceedings VL - 2 AB - With the development of technology and growth of social networking among individuals, the quantitative study of social dynamics has attracted a great interest from researchers. In this study, we propose a stochastic binary opinion model where agents are considered to hold an opinion of ``yes" or ``no" at each moment. In this model, the number of agents with opinion ``yes" at time t  is considered to be a birth-death process, and the configuration of the opinions at each moment is determined by a probability distribution. The rate an agent changes his/her opinion depends on the influence of the group's current state on the agent, given with a social-impact function, and a scalar self-motivation coefficient. We analyze the stationary probabilities with regard to the social-impact function and the self- motivation coefficient. We present numerical results showing the cases of the dominance of an opinion as well as of balanced opinions.   DO - ER -

%0 Book %A Tay  Stamoulas, Serap %A Rathinam , Muruhan  %T A Stochastic Binary Opinion Model %D 2018 %I {SETSCI Conference Proceedings} %J {SETSCI Conference Proceedings} %V 2 %P 89-89 %D 2018 %M doi: