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Heterogeneity shapes groups growth in social online communities

机译:异质性影响社交网络社区中的群体成长

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摘要

Many complex systems are characterized by broad distributions capturing, for example, the size of firms, the population of cities or the degree distribution of complex networks. Typically this feature is explained by means of a preferential growth mechanism. Although heterogeneity is expected to play a role in the evolution, it is usually not considered in the modeling probably due to a lack of empirical evidence on how it is distributed. We characterize the intrinsic heterogeneity of groups in an online community and then show that together with a simple linear growth and an inhomogeneous birth rate it explains the broad distribution of group members.
机译:许多复杂系统的特征是分布广泛,例如捕获公司规模,城市人口或复杂网络的程度分布。通常,此特征是通过优先增长机制来解释的。尽管异质性有望在进化中发挥作用,但由于缺乏有关其分布方式的经验证据,通常在建模中不考虑异质性。我们表征了在线社区中群体的内在异质性,然后证明了其与简单的线性增长和不均匀的出生率一起解释了群体成员的广泛分布。

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