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Extensive literature demonstrates how the copying of references (links) canlead to the emergence of various structural properties (e.g., power-law degreedistribution and bipartite cores) in bibliographic and other similar directednetworks. However, it is also well known that the copying process is incapableof mimicking the number of directed triangles in such networks; neither does ithave the power to explain the obsolescence of older papers. In this paper, wepropose RefOrCite, a new model that allows for copying of both the referencesfrom (i.e., out-neighbors of) as well as the citations to (i.e., in-neighborsof) an existing node. In contrast, the standard copying model (CP) only copiesreferences. While retaining its spirit, RefOrCite differs from the Forest Fire(FF) model in ways that makes RefOrCite amenable to mean-field analysis fordegree distribution, triangle count, and densification. Empirically, RefOrCitegives the best overall agreement with observed degree distribution, trianglecount, diameter, h-index, and the growth of citations to newer papers.

Analysis of Reference and Citation Copying in Evolving Bibliographic Networks