
arXiv: 1401.4770
We survey a range of models of opinion exchange. From the introduction: "The exchange of opinions between individuals is a fundamental social interaction... Moreover, many models in this field are an excellent playground for mathematicians, especially those working in probability, algorithms and combinatorics. The goal of this survey is to introduce such models to mathematicians, and especially to those working in discrete mathematics, information theory, optimization, probability and statistics."
62 pages. arXiv admin note: substantial text overlap with arXiv:1207.5893
FOS: Computer and information sciences, learning, Research exposition (monographs, survey articles) pertaining to game theory, economics, and finance, Probability (math.PR), Interacting random processes; statistical mechanics type models; percolation theory, 510, voter model, Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.), Computer Science - Computer Science and Game Theory, Bayesian model, FOS: Mathematics, social network, DeGroot model, agreement, Mathematics - Probability, Social networks; opinion dynamics, Computer Science and Game Theory (cs.GT)
FOS: Computer and information sciences, learning, Research exposition (monographs, survey articles) pertaining to game theory, economics, and finance, Probability (math.PR), Interacting random processes; statistical mechanics type models; percolation theory, 510, voter model, Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.), Computer Science - Computer Science and Game Theory, Bayesian model, FOS: Mathematics, social network, DeGroot model, agreement, Mathematics - Probability, Social networks; opinion dynamics, Computer Science and Game Theory (cs.GT)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 53 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
