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Measuring the complexity of directed graphs: A polynomial-based approach

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...

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Detalles Bibliográficos
Autores principales: Dehmer, Matthias, Chen, Zengqiang, Emmert-Streib, Frank, Tripathi, Shailesh, Mowshowitz, Abbe, Levitchi, Alexei, Feng, Lihua, Shi, Yongtang, Tao, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855486/
https://www.ncbi.nlm.nih.gov/pubmed/31725742
http://dx.doi.org/10.1371/journal.pone.0223745
Descripción
Sumario: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.