A New Approach to Count Pattern Motifs Using Combinatorial Techniches

Computer Science – Computational Complexity

Scientific paper

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Scientific paper

We proposed two new exact algorithms to detect network motifs of size 3 and 4. Considering that motifs need to count the isomorphic patterns in the original graph $G(V,E)$ and in a set of randomized graphs, the following complexities concern about count isomorphic patterns in a single graph. Let $m=|E|$ and let $a(G)$ be the arboricity of $G$. Assume $|E|\geq|V|$. We describe a $O(a(G)m)$ time complexity algorithm to count isomorphic patterns of size 3. The complexity is a $O({m\sqrt{m}})$ in the worst graph. The second algorithm is a $O(m^2)$ complexity algorithm to count isomorphic patterns of size 4. The final result was expressive faster when compared with other implemented algorithms.

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