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Diffusive capture processes for information search

Sungmin Lee·Soon-Hyung Yook·Yup Kim
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Abstract

We show how effectively the diffusive capture processes (DCP) on complex networks can be applied to information search in the networks. Numerical simulations show that our method generates only 2% of traffic compared with the most popular flooding-based query-packet-forwarding (FB) algorithm. We find that the average searching time, $ $, of the our model is more scalable than another well known $n$-random walker model and comparable to the FB algorithm both on real Gnutella network and scale-free networks with $γ=2.4$. We also discuss the possible relationship between $ $ and $ $, the second moment of the degree distribution of the networks.

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Sungmin Lee, Soon-Hyung Yook, Yup Kim. 2007-03-05. Diffusive capture processes for information search. https://doi.org/10.1016/j.physa.2007.07.022

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