Model of Wikipedia growth based on information exchange via reciprocal arcs

Abstract

We show how reciprocal arcs significantly influence the structural organization of Wikipedias, online encyclopedias. It is shown that random addition of reciprocal arcs in the static network cannot explain the observed reciprocity of Wikipedias. A model of Wikipedia growth based on preferential attachment and on information exchange via reciprocal arcs is presented. An excellent agreement between in-degree distributions of our model and real Wikipedia networks is achieved without fitting the distributions, but by merely extracting a small number of model parameters from the measurement of real networks.

4 pages, 4 figures, companion paper of our paper "Influence of reciprocal arcs on the degree distribution and degree correlations"

References in corpus (1)

• Reciprocity of Networks with Degree Correlations and Arbitrary Degree Sequences

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