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Community dynamics in social networks

机译:社区动态社交网络

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We study the statistical properties of community dynamics in large social networks, where the evolving communities are obtained from subsequent snapshots of the modular structure. Such cohesive groups of people can grow by recruiting new members, or contract by loosing members; two (or more) groups may merge into a single community, while a large enough social group can split into several smaller ones; new communities are born and old ones may disappear. We find significant difference between the behaviour of smaller collaborative or friendship circles and larger communities, eg. institutions. Social groups containing only a few members persist longer on average when the fluctuations of the members is small. In contrast, we find that the condition for stability for large communities is continuous changes in their membership, allowing for the possibility that after some time practically all members are exchanged.
机译:我们研究了大型社交网络中社区动态的统计特性,其中从模块化结构的后续快照获得了不断发展的社区。这些凝聚力的人可以通过招募新成员或通过丢失成员签订合同;两个(或更多)组可以合并到一个社区中,而足够大的社会群体可以分成几个较小的社区;新社区诞生,旧的旧社区可能会消失。我们在较小的协作或友谊圈和较大社区的行为之间发现了显着差异,例如。机构。当成员的波动很小时,只有少数成员的社会群体平均持续更长。相比之下,我们发现大型社区稳定的条件是其成员的持续变化,允许在几乎所有成员经过一段时间后交换的可能性。

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