Corona Graph as a Small-world Model
نویسندگان
چکیده
We introduce recursive corona graphs as a model of small-world networks. We investigate analytically the critical characteristics of the model, including order and size, degree distribution, average path length, clustering coefficient, and the number of spanning trees, as well as Kirchhoff index. Furthermore, we study the spectra for the adjacency matrix and the Laplacian matrix for the model. We obtain explicit results for all the quantities of the recursive corona graphs, which are similar to those observed in real-life networks.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1508.03800 شماره
صفحات -
تاریخ انتشار 2015