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Directionality of real world networks as predicted by path length in directed and undirected graphs

Yonatan Rosen and Yoram Louzoun

Physica A: Statistical Mechanics and its Applications, 2014, vol. 401, issue C, 118-129

Abstract: Many real world networks either support ordered processes, or are actually representations of such processes. However, the same networks contain large strong connectivity components and long circles, which hide a possible inherent order, since each vertex can be reached from each vertex in a directed path. Thus, the presence of an inherent directionality in networks may be hidden. We here discuss a possible definition of such a directionality and propose a method to detect it.

Keywords: Directionality; Centrality; Directed networks; Real-world networks (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:401:y:2014:i:c:p:118-129

DOI: 10.1016/j.physa.2014.01.005

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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