On Detection and Structural Reconstruction of Small-World Random Networks
Tony Cai, Tengyuan Liang and Alexander Rakhlin
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Abstract:
In this paper, we study detection and fast reconstruction of the celebrated Watts-Strogatz (WS) small-world random graph model (Watts and Strogatz, 1998) which aims to describe real-world complex networks that exhibit both high clustering and short average length properties. The WS model with neighborhood size k and rewiring probability probability β can be viewed as a continuous interpolation between a deterministic ring lattice graph and the Erdös-Rényi random graph. We study both the computational and statistical aspects of detecting the deterministic ring lattice structure (or local geographical links, strong ties) in the presence of random connections (or long range links, weak ties), and for its recovery. The phase diagram in terms of (k, β) is partitioned into several regions according to the difficulty of the problem. We propose distinct methods for the various regions.
- Paper: pdf file.