Estimating the dynamics of kernel-based evolving networks

Details Estimating the dynamics of kernel-based evolving networks Estimating the dynamics of kernel-based evolving networks

2006-05-19

arxiv.org/abs/cond-mat/0605497v3

Physics

Condensed Matter

Disordered Systems and Neural Networks

9 pages, 3 figures, 1 table

Scientific paper

In this paper we present the application of a novel methodology to scientific citation and collaboration networks. This methodology is designed for understanding the governing dynamics of evolving networks and relies on an attachment kernel, a scalar function of node properties, which stochastically drives the addition and deletion of vertices and edges. We illustrate how the kernel function of a given network can be extracted from the history of the network and discuss other possible applications.

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