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We have considered the ways in which communities in social networks grow over time — both at the level of individuals and their decisions to join communities, and at a more global level, in which a community can evolve in both membership and content

Group formation in large social networks: membership, growth, and evolution

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, (2006)

Cited by: 2242|Views241
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Abstract

The processes by which communities come together, attract new members, and develop over time is a central research issue in the social sciences - political movements, professional organizations, and religious denominations all provide fundamental examples of such communities. In the digital domain, on-line groups are becoming increasingly...More

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  • Over all communities, the mean growth rate was 18.6%, while the median growth rate was 12.7%. We cast this problem directly as a binary classification problem in which class 0 consists of communities which grew by less than 9%, while class 1 consists of communities which grew by more than 18%
  • As shown in Table 5, we find that papers contributing to movement bursts in fact use expired hot terms at a significantly higher rate than arbitrary papers at the same conference (31.02% vs. 26.37%), but use future hot terms at a significantly lower rate (11.53% vs. 17.40%)
  • In other words, of the four patterns, shared interest is 50% more frequent than the other three patterns combined
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