Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2009-02-10
J. Stat. Mech. (2009) P10024
Physics
Condensed Matter
Disordered Systems and Neural Networks
9 pages, 2 figures
Scientific paper
10.1088/1742-5468/2009/10/P10024
We study the voter model, under node and link update, and the related invasion process on a single strongly connected component of a directed network. We implement an analytical treatment in the thermodynamic limit using the heterogeneous mean field assumption. From the dynamical rules at the microscopic level, we find the equations for the evolution of the relative densities of nodes in a given state on heterogeneous networks with arbitrary degree distribution and degree-degree correlations. We prove that conserved quantities as weighted linear superpositions of spin states exist for all three processes and, for uncorrelated directed networks, we derive their specific expressions. We also discuss the time evolution of the relative densities that decay exponentially to a homogeneous stationary value given by the conserved quantity. The conservation laws obtained in the thermodynamic limit for a system that does not order in that limit determine the probabilities of reaching the absorbing state for a finite system. The contribution of each degree class to the conserved quantity is determined by a local property. Depending on the dynamics, the highest contribution is associated to influential nodes reaching a large number of outgoing neighbors, not too influenceable ones with a low number of incoming connections, or both at the same time.
Eguiluz Victor M.
Klemm Konstantin
Miguel Maxi San
Serrano Ángeles M.
Vazquez Federico
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