Identifying similar networks using structural hierarchy

Rakhi Saxena, Sharanjit Kaur and Vasudha Bhatnagar

Physica A: Statistical Mechanics and its Applications, 2019, vol. 536, issue C

Abstract: Comparing structural similarities among complex networks is an important task in several scientific and social science applications. Existing techniques for quantifying network similarity range from network-centric methods that consider global network topology to node-centric methods that consider local node-level sub-structures.

Keywords: Network similarity; Network comparison; Structural hierarchy; k-core decomposition; k-truss decomposition; Graph analytics; Social networks; Canberra distance; Quantiles (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:536:y:2019:i:c:s0378437119306399

DOI: 10.1016/j.physa.2019.04.265

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