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Navigable networks as Nash equilibria of navigation games

Authors: András Gulyás; József J. Bíró; Attila Kőrösi; Gábor Rétvári; Dmitri Krioukov;

Navigable networks as Nash equilibria of navigation games

Abstract

The common sense suggests that networks are not random mazes of purposeless connections, but that these connections are organised so that networks can perform their functions well. One function common to many networks is targeted transport or navigation. Using game theory, here we show that minimalistic networks designed to maximise the navigation efficiency at minimal cost share basic structural properties with real networks. These idealistic networks are Nash equilibria of a network construction game whose purpose is to find an optimal trade-off between the network cost and navigability. We show that these skeletons are present in the Internet, metabolic, English word, US airport, Hungarian road networks, and in a structural network of the human brain. The knowledge of these skeletons allows one to identify the minimal number of edges by altering which one can efficiently improve or paralyse navigation in the network.

40 pages, 17 figures

Country
Hungary
Keywords

FOS: Computer and information sciences, Physics - Physics and Society, számítógéptudomány, FOS: Physical sciences, Transportation, Physics and Society (physics.soc-ph), Article, Computer Communication Networks, Game Theory, Computer Science - Computer Science and Game Theory, Humans, Protein Interaction Maps, Language, Social and Information Networks (cs.SI), QA75 Electronic computers. Computer science / számítástechnika, Internet, Brain, Computer Science - Social and Information Networks, QA76.527 Network technologies / Internetworking / hálózati technológiák, hálózatosodás, QC Physics / fizika, Computer Science and Game Theory (cs.GT)

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
61
Top 10%
Top 10%
Top 10%
Green
gold