We investigate how social reinforcement drives the spread of permanent innovations and transient fads. We account for social reinforcement by endowing each individual with M + 1 possible awareness states 0, 1, 2,..., M, with state M corresponding to adopting an innovation. An individual with awareness k < M increases to k + 1 by interacting with an adopter. Starting with a single adopter, the time for an initially unaware population that consists of N individuals to adopt an innovation grows as lnN for M = 1, and as N1 − 1/M for M > 1. When individuals can abandon the innovation at rate λ, the population fraction that remains clueless about the fad undergoes a phase transition at a critical rate λc; this transition is second order for M = 1 and first order for M > 1, with macroscopic fluctuations accompanying the latter. The time for the fad to disappear has an intriguing non-monotonic dependence on λ.
Reinforcement-driven spread of innovations and fads
P. Krapivsky,S. Redner,D. Volovik
Published 2011 in arXiv.org
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- Publication year
2011
- Venue
arXiv.org
- Publication date
2011-04-20
- Fields of study
Mathematics, Physics, Computer Science, Economics
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