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Growing trees in internet news groups and forums.

B Kujawski1, J Hołyst, G J Rodgers

  • 1Department of Mathematical Sciences, Brunel University, Uxbridge, Middlesex UB8 3PH, United Kingdom.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 13, 2007
PubMed
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Online communities like news groups and forums form scale-free trees. Tree structure varies by topic, and user activity shows daily routine correlations, differing from standard network models.

Area of Science:

  • Network Science
  • Computational Social Science
  • Information Science

Background:

  • Online communities exhibit complex network structures.
  • Understanding user interaction patterns is crucial for community dynamics.

Purpose of the Study:

  • To empirically study network structures in internet news groups and forums.
  • To analyze message response times, user activity correlations, and network topology.
  • To investigate the relationship between node supremacy and degree in these networks.

Main Methods:

  • Empirical analysis of user-generated networks in news groups and forums.
  • Statistical analysis of message posting intervals and response times.
  • Correlation analysis of user activity over time.

Related Experiment Videos

  • Examination of network distance distributions and node supremacy-degree relationships.

    • Main Results:

    • Networks form scale-free trees, with structure influenced by topic universality.
    • Message response times follow a composite power-law distribution.
    • User activity displays long-range correlations tied to daily routines.
    • The supremacy-degree relation is linear (s(k) ≈ k), deviating from Barabási-Albert models.

    Conclusions:

    • Online community networks possess unique scale-free tree structures.
    • User behavior, including response patterns and activity, is influenced by temporal factors and topic scope.
    • These findings offer insights into the emergent properties of online social networks.