Stochastic Binary Opinion Model

dc.contributor.authorStamoulas, Serap Tay
dc.contributor.authorRathinam, Muruhan
dc.date.accessioned2019-06-25T16:30:37Z
dc.date.available2019-06-25T16:30:37Z
dc.date.issued2019-02-06
dc.description.abstractWe study a stochastic binary opinion model where agents in a group are considered to hold an opinion of 0 or 1 at each moment. An agent in the group updates his/her opinion based on the group's opinion configuration and his/her personality. Considering the number of agents with opinion 1 as a continuous time Markov process, we analyze the long-term probabilities for large population size in relation to the personalities of the group. In particular, we focus on the question of "balance" where both opinions are present in nearly equal numbers as opposed to "dominance" when one opinion is dominant.en_US
dc.description.urihttps://arxiv.org/abs/1902.03107en_US
dc.format.extent9 pagesen_US
dc.genrejournal articles preprintsen_US
dc.identifierdoi:10.13016/m2ketn-qe5h
dc.identifier.citationSerap Tay Stamoulas, Muruhan Rathinam, Stochastic Binary Opinion Model, Physics and Society, 2019, https://arxiv.org/abs/1902.03107en_US
dc.identifier.urihttp://hdl.handle.net/11603/14304
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectlong-term probabilitiesen_US
dc.subjectstochastic binaryen_US
dc.subjectdominanceen_US
dc.titleStochastic Binary Opinion Modelen_US
dc.typeTexten_US

Files

License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description: