Abstract
We present a novel model to simulate real social networks of complex
interactions, based in a system of colliding particles (agents). The
network is build by keeping track of the collisions and evolves in time
with correlations which emerge due to the mobility of the agents.
Therefore, statistical features are a consequence only of local
collisions among its individual agents. Agent dynamics is realized by an
event-driven algorithm of collisions where energy is gained as opposed
to physical systems which have dissipation. The model reproduces
empirical data from networks of sexual interactions, not previously
obtained with other approaches.
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