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- W2158007644 abstract "In this study we address the question of the origin of non-Gaussian, fattailed growth-rate distributions in organizational growth processes. In particular, the remarkable feature that the probability distribution for the growth rate –i.e. how quickly the size changes –follows a non-Gaussian pattern, something unexpected in traditional approaches. In practice, this means that organizational size changes very little most of the time, but dramatically every once in a while. This pattern shows up in growth processes of various unrelated systems, from bird migration dynamics to investments in mutual funds. We verify the emergence of this pattern on real data from voluntary organizations in Sweden. In order to replicate the observed behaviour, we implement a stochastic model on a contact network with influence-based time evolution. We simulate the model for different network configurations. We are able to reproduce the key features with this model. We then construct a physical analogy to the model, motivated by the sociological concept of preference falsification. This us to study some elementary thermodynamic-like properties, and find nontrivial phases emerging in extreme cases of the control parameter." @default.
- W2158007644 created "2016-06-24" @default.
- W2158007644 creator A5090802425 @default.
- W2158007644 date "2012-01-01" @default.
- W2158007644 modified "2023-09-26" @default.
- W2158007644 title "Statistical Mechanics of Organizational Growth Processes" @default.
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