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14.01. Influence of network dynamics on the spread of sexually transmitted
diseases , arXiv

Excerpt: Network epidemiology often assumes that the relationships
defining the social network of a population are static. The dynamics of
relationships is only taken indirectly into account, by assuming that the
relevant information to study epidemic spread is encoded in the network
obtained by considering numbers of partners accumulated over periods of
time roughly proportional to the infectious period of the disease at hand.
On the other hand, models explicitly including social dynamics are often
too schematic to provide a reasonable representation of a real population,
or so detailed that no general conclusions can be drawn from them. Here we
present a model of social dynamics that is general enough that its
parameters can be obtained by fitting data from surveys about sexual
behaviour, but that can still be studied analytically, using mean field
techniques.

* [24] Influence of network dynamics on the spread of sexually transmitted
diseases, Sebastian Risau-Gusman, 2010/04/08, arXiv:1004.1378 [24]
http://arXiv.org/abs/1004.1378




 Barry Wellman
 _______________________________________________________________________

  S.D. Clark Professor of Sociology, FRSC               NetLab Director
  Department of Sociology                  725 Spadina Avenue, Room 388
  University of Toronto   Toronto Canada M5S 2J4   twitter:barrywellman
  http://www.chass.utoronto.ca/~wellman             fax:+1-416-978-3963
  Updating history:      http://chass.utoronto.ca/oldnew/cybertimes.php
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