Threshold learning dynamics in social networks

Physics – Physics and Society

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

8 pages, 7 figures

Scientific paper

10.1371/journal.pone.0020207

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Threshold learning dynamics in social networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Threshold learning dynamics in social networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Threshold learning dynamics in social networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-505598

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.