Rate-Distortion Function of the Stochastic Block Model
Abstract
The stochastic block model (SBM) is extensively used to model networks in which users belong to certain communities. In recent years, the study of information-theoretic compression of such networks has gained attention, with works primarily focusing on lossless compression. In this work, we address the lossy compression of SBM graphs by characterizing the rate-distortion function under a Hamming distortion constraint. Specifically, we derive the conditional rate-distortion function of the SBM with community membership as side information. We approach this problem as the classical Wyner-Ziv lossy problem by minimising mutual information of the graph and its reconstruction conditioned on community labels. Lastly, we also derive the rate-distortion function of the Erd\H{o}s-R\'enyi (ER) random graph model.
Keywords
Cite
@article{arxiv.2309.14464,
title = {Rate-Distortion Function of the Stochastic Block Model},
author = {Martin Wachiye Wafula and Praneeth Kumar Vippathalla and Justin Coon and Mihai-Alin Badiu},
journal= {arXiv preprint arXiv:2309.14464},
year = {2023}
}
Comments
9 pages, 1 figure, Accepted for presentation at Asilomar Conference on Signals, Systems, and Computers, 2023