Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques

C Ding, X He, H Xiong, H Peng… - … journal of data …, 2006 - inderscienceonline.com
C Ding, X He, H Xiong, H Peng, SR Holbrook
International journal of data mining and bioinformatics, 2006inderscienceonline.com
We study transitivity properties of edge weights in complex networks. We show that
enforcing transitivity leads to a transitivity inequality which is equivalent to ultra-metric
inequality. This can be used to define transitive closure on weighted undirected graphs,
which can be computed using a modified Floyd-Warshall algorithm. These new concepts are
extended to dissimilarity graphs and triangle inequalities. From this, we extend the clique
concept from unweighted graph to weighted graph. We outline several applications and …
We study transitivity properties of edge weights in complex networks. We show that enforcing transitivity leads to a transitivity inequality which is equivalent to ultra-metric inequality. This can be used to define transitive closure on weighted undirected graphs, which can be computed using a modified Floyd-Warshall algorithm. These new concepts are extended to dissimilarity graphs and triangle inequalities. From this, we extend the clique concept from unweighted graph to weighted graph. We outline several applications and present results of detecting protein functional modules in a protein interaction network.
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