Structural sparsity of complex networks: Bounded expansion in random models and real-world graphs

This research establishes that many real-world networks exhibit bounded expansion2, a strong notion of structural sparsity, and demonstrates that it can be leveraged to design efficient algorithms for network analysis. Specifically, we give a new linear-time fpt algorithm for motif counting and line...

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Bibliographic Details
Main Author: Demaine, Erik D
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Elsevier BV 2021
Online Access:https://hdl.handle.net/1721.1/129561