Computer Science – Social and Information Networks
Scientific paper
2010-12-21
New Jour. Phys. 13, 053030 (2011)
Computer Science
Social and Information Networks
3 figures
Scientific paper
This paper mainly investigates why small-world networks are navigable and how to navigate small-world networks. We find that the navigability can naturally emerge from self-organization in the absence of prior knowledge about underlying reference frames of networks. Through a process of information exchange and accumulation on networks, a hidden metric space for navigation on networks is constructed. Navigation based on distances between vertices in the hidden metric space can efficiently deliver messages on small-world networks, in which long range connections play an important role. Numerical simulations further suggest that high cluster coefficient and low diameter are both necessary for navigability. These interesting results provide profound insights into scalable routing on the Internet due to its distributed and localized requirements.
Cai Shi-Min
Fu Zhong-Qian
Wang Wen-Xu
Zhuo Zhao
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