Article: article from journal or magazin.
A growing social network model in geographical space
Journal of Statistical Mechanics: Theory and Experiment
In this work we propose a new model for the generation of social networks that includes their often ignored spatial aspects. The model is a growing one and links are created either taking space into account, or disregarding space and only considering the degree of target nodes. These two effects can be mixed linearly in arbitrary proportions through a parameter. We numerically show that for a given range of the combination parameter, and for given mean degree, the generated network class shares many important statistical features with those observed in actual social networks, including the spatial dependence of connections. Moreover, we show that the model provides a good qualitative fit to some measured social networks.
socio-economic networks, random graphs, Statistics, Probability and Uncertainty, Statistics and Probability, Statistical and Nonlinear Physics
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