A systematic association of subgraph counts over a network
Dimitris Floros, Nikos Pitsianis, Xiaobai Sun

TL;DR
This paper introduces a unified graph encoding system that systematically relates small subgraph counts, enabling theoretical insights and practical algorithms for efficient subgraph counting in networks.
Contribution
It develops a comprehensive graph encoding framework connecting graphlet structures with algebraic and numerical relations, and proposes a novel efficient subgraph counting algorithm.
Findings
Established topological relations among graphlets
Characterized algebraic and numerical relations in graphlet counts
Presented an efficient algorithm for small subgraph counting
Abstract
We associate all small subgraph counting problems with a systematic graph encoding/representation system which makes a coherent use of graphlet structures. The system can serve as a unified foundation for studying and connecting many important graph problems in theory and practice. We describe topological relations among graphlets (graph elements) in rigorous mathematics language and from the perspective of graph encoding. We uncover, characterize and utilize algebraic and numerical relations in graphlet counts/frequencies. We present a novel algorithm for efficiently counting small subgraphs as a practical product of our theoretical findings.
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Taxonomy
TopicsGraph theory and applications · Complex Network Analysis Techniques · Advanced Graph Theory Research
