A model for spatially embedded social networks

This paper presents a stochastic model for spatially embedded social networks based on the ideas of spatial interaction models. Analysing empirical data, we find that the probability to accept a social contact at a certain distance follows a power law with exponent -1.6. With a simulation where the spatial distribution of vertices is defined by a synthetic population of Switzerland, we can reproduce the edge length distribution observed in the empirical data as well as some other typical properties of social networks.


Presented at:
12th International Conference on Travel Behavior Research, Jaipur, Rajasthan, India, December 13-18
Year:
2009
Laboratories:




 Record created 2010-09-30, last modified 2018-03-17

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