期刊
FLUCTUATION AND NOISE LETTERS
卷 7, 期 3, 页码 L273-L287出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0219477507003933
关键词
social networks; communities; time evolution; community dynamics
资金
- Division Of Materials Research
- Direct For Mathematical & Physical Scien [0837678] Funding Source: National Science Foundation
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 behavior 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.
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