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Social learning is defined as the ability of a population to aggregate information, a process which must crucially depend on the mechanisms of social interaction. Consumers choosing which product to buy, or voters deciding which option to take respect to an important issues, typically confront external signals to the information gathered from their contacts. Received economic models typically predict that correct social learning occurs in large populations unless some individuals display unbounded influence. We challenge this conclusion by showing that an intuitive threshold process of individual adjustment does not always lead to such social learning. We find, specifically, that three generic regimes exist. And only in one of them, where the threshold is within a suitable intermediate range, the population learns the correct information. In the other two, where the threshold is either too high or too low, the system either freezes or enters into persistent flux, respectively. These regimes are generally observed in different social networks (both complex or regular), but limited interaction is found to promote correct learning by enlarging the parameter region where it occurs.
8 pages, 7 figures
Physics - Physics and Society, Time Factors, Statistical Mechanics (cond-mat.stat-mech), Science, Q, R, Social Support, FOS: Physical sciences, Numerical Analysis, Computer-Assisted, Physics and Society (physics.soc-ph), Models, Biological, networks, Sensory Thresholds, Medicine, Learning, Computer Simulation, Condensed Matter - Statistical Mechanics, Research Article
Physics - Physics and Society, Time Factors, Statistical Mechanics (cond-mat.stat-mech), Science, Q, R, Social Support, FOS: Physical sciences, Numerical Analysis, Computer-Assisted, Physics and Society (physics.soc-ph), Models, Biological, networks, Sensory Thresholds, Medicine, Learning, Computer Simulation, Condensed Matter - Statistical Mechanics, Research Article
| 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). | 33 | |
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| 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% |
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