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Updated: Apr 30, 2026

Conditions Affecting Social Space in Drosophila melanogaster
Published on: November 5, 2015
From sparse to dense and from assortative to disassortative in online social networks
Menghui Li1, Shuguang Guan2, Chensheng Wu3
11] Beijing Institute of Science and Technology Intelligence, Beijing, 100044, P. R. China [2] School of Systems Science, Beijing Normal University, Beijing, 100875, P. R. China [3] Temasek Laboratories, National University of Singapore, 117508, Singapore [4] Beijing-Hong Kong-Singapore Joint Centre for Nonlinear & Complex Systems (Singapore), National University of Singapore, Kent Ridge, 119260, Singapore.
Abstract:
Inspired by the analysis of several empirical online social networks, we propose a simple reaction-diffusion-like coevolving model, in which individuals are activated to create links based on their states, influenced by local dynamics and their own intention. It is shown that the model can reproduce the remarkable properties observed in empirical online social networks; in particular, the assortative coefficients are neutral or negative, and the power law exponents γ are smaller than 2. Moreover, we demonstrate that, under appropriate conditions, the model network naturally makes transition(s) from assortative to disassortative, and from sparse to dense in their characteristics. The model is useful in understanding the formation and evolution of online social networks.
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