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Mapping the forms of meaning in small worlds

Abstract : Prox is a stochastic method to map the local and global structures of real-world complex networks which are called Small Worlds. Prox transforms a graph into a Markov chain, the states of which are the nodes of the graph in question. Particles wander from one node to another within the graph by following the graph " s edges. It is the dynamics of the particles " trajectories that map the structural properties of the graphs that are studied. Concrete examples are presented in a graph of synonyms to illustrate this approach.
Keywords : complex network
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Contributor : Bruno Gaume <>
Submitted on : Thursday, May 26, 2016 - 3:34:35 PM
Last modification on : Thursday, June 10, 2021 - 3:07:46 AM
Long-term archiving on: : Saturday, August 27, 2016 - 10:44:53 AM


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Bruno Gaume. Mapping the forms of meaning in small worlds. International Journal of Intelligent Systems, Wiley, 2008, Journal of Intelligent Systems, 23 (7), pp.848--862. ⟨10.1002/int.20275⟩. ⟨hal-01322013⟩



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