Measuring the complexity of directed graphs: A polynomial-based approach.
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- Record sourced from PubMed, PMID 31725742.
- Also identified by DOI 10.1371/journal.pone.0223745 and PMC identifier 6855486.
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Abstract
In this paper, we define novel graph measures for directed networks. The measures are based on graph polynomials utilizing the out- and in-degrees of directed graphs. Based on these polynomial, we define another polynomial and use their positive zeros as graph measures. The measures have meaningful properties that we investigate based on analytical and numerical results. As the computational complexity to compute the measures is polynomial, our approach is efficient and can be applied to large networks. We emphasize that our approach clearly complements the literature in this field as, to the best of our knowledge, existing complexity measures for directed graphs have never been applied on a large scale.
Medical subject headings
- Computational Biology
- Computer Graphics