articleACM Transactions on Knowledge Discovery from DataMar 1, 2007Closed access

Graph evolution

Carnegie Mellon University · Cornell University

Indexed incrossref

Abstract

How do real graphs evolve over time? What are normal growth patterns in social, technological, and information networks? Many studies have discovered patterns in static graphs , identifying properties in a single snapshot of a large network or in a very small number of snapshots; these include heavy tails for in- and out-degree distributions, communities, small-world phenomena, and others. However, given the lack of information about network evolution over long periods, it has been hard to convert these findings into statements about trends over time. Here we study a wide range of real graphs, and we observe some surprising phenomena. First, most of these graphs densify over time with the number of edges…

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2,447
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Authors

3

Topics & keywords

Keywords
  • Snapshot (computer storage)
  • Computer science
  • Dense graph
  • Indifference graph
  • Pathwidth
  • Mathematics
  • Chordal graph
  • Theoretical computer science
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