Reciprocity of Networks with Degree Correlations and Arbitrary Degree Sequences

Abstract

Although most of the real networks contain a mixture of directed and bidirectional (reciprocal) connections, the reciprocity $r$ has received little attention as a subject of theoretical understanding. We study the expected reciprocity of networks with an arbitrary degree sequence and a broad class of degree correlations by means of statistical ensemble approach. We demonstrate that degree correlations are crucial to understand the reciprocity in real networks and a hierarchy of correlation contributions to $r$ is revealed. Numerical experiments using novel network randomization methods show very good agreement to our analytical estimations.

8 pages, 3 figures, added a new table and a new figure, accepted for publication in Phys.Rev.E

References in corpus (3)

• Wikipedias: Collaborative web-based encyclopedias as complex networks
• Synchronization in weighed scale-free networks with degree-degree correlation
• Exploring the assortativity-clustering space of a network's degree sequence

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