PageRank Induced Topology for Real-World Networks
2016
This article presents a stochastic method for studying the structure of large small worlds graphs. The principle of this method is to apply a PageRank-like importance algorithm, with a damping factor and an external importance source. By varying the source vector, one obtains a powerful graph visualization tool, which reveals the structural organization of small worlds graphs.
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