Advances in biased net theory: definitions, derivations, and estimations

@article{Skvoretz2004AdvancesIB,
  title={Advances in biased net theory: definitions, derivations, and estimations},
  author={John Skvoretz and Thomas J. Fararo and Filip Agneessens},
  journal={Social Networks},
  year={2004},
  volume={26},
  pages={113-139}
}
Random and biased net theory, introduced by Rapoport and others in the 1950s, is one of the earliest approaches to the formal modeling of social networks. In this theory, intended as a theory of large-scale networks, ties between nodes derive both from random and non-random events of connection. The non-random connections are postulated to arise through “bias” events that incorporate known or suspected systematic tendencies in tie formation, such as, mutuality or reciprocity, transitivity or… CONTINUE READING
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