TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Graph measures with high discrimination power revisited: A random polynomial approach

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut407-414
Sivumäärä8
JulkaisuInformation Sciences
Vuosikerta467
DOI - pysyväislinkit
TilaJulkaistu - 1 lokakuuta 2018
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

Finding graph measures with high discrimination power has been triggered by searching for so-called complete graph invariants. In a series of papers, we have already investigated highly discriminating measures to distinguish graphs (networks) based on their topology. In this paper, we propose an approach where the graph measures are based on the roots of random graph polynomials. The polynomial coefficients have been defined by utilizing information functionals which capture structural information of the underlying networks. Our numerical results obtained by employing exhaustively generated graphs reveal that the new approach outperforms earlier results in the literature.