Reverse engineering of linking preferences from network restructuring

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Podrobná bibliografie
Vydáno v:	arXiv.org (May 18, 2004), p. n/a
Hlavní autor:	Palla, Gergely
Další autoři:	Farkas, Illes, Derenyi, Imre, Albert-Laszlo Barabasi, Vicsek, Tamas
Vydáno:	Cornell University Library, arXiv.org
Témata:	Authoring Rewiring Graphs Stock exchanges Scientific papers Computer simulation Reverse engineering Monte Carlo simulation
On-line přístup:	Citation/Abstract Full text outside of ProQuest
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Popis
Abstrakt:	We provide a method to deduce the preferences governing the restructuring dynamics of a network from the observed rewiring of the edges. Our approach is applicable for systems in which the preferences can be formulated in terms of a single-vertex energy function with f(k) being the contribution of a node of degree k to the total energy, and the dynamics obeys the detailed balance. The method is first tested by Monte-Carlo simulations of restructuring graphs with known energies, then it is used to study variations of real network systems ranging from the co-authorship network of scientific publications to the asset graphs of the New York Stock Exchange. The empirical energies obtained from the restructuring can be described by a universal function f(k) -k ln(k), which is consistent with and justifies the validity of the preferential attachment rule proposed for growing networks.
ISSN:	2331-8422
DOI:	10.1103/PhysRevE.70.046115
Zdroj:	Engineering Database