article Open AccessTop 1% cited
Search in power-law networks
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2001 · Vol. 64(4) · pp. 046135–046135
Lada A. Adamic✉(Hewlett-Packard (United States))Rajan M. Lukose(Hewlett-Packard (United States))Amit Puniyani(Stanford University)Bernardo A. Huberman(Hewlett-Packard (United States))
Abstract
Many communication and social networks have power-law link distributions, containing a few nodes that have a very high degree and many with low degree. The high connectivity nodes play the important role of hubs in communication and networking, a fact that can be exploited when designing efficient search algorithms. We introduce a number of local search strategies that utilize high degree nodes in power-law graphs and that have costs scaling sublinearly with the size of the graph. We also demonstrate the utility of these strategies on the GNUTELLA peer-to-peer network.
Complex Network Analysis TechniquesPeer-to-Peer Network TechnologiesOpinion Dynamics and Social InfluenceComputer scienceDegree (music)Degree distributionTheoretical computer scienceGraphComputer networkPower (physics)ScalingComplex networkDistributed computing
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References
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