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Estimating the dynamics of kernel-based evolving networks

Gabor Csardi·Katherine Strandburg·Laszlo Zalanyi·Jan Tobochnik·Peter Erdi
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Abstract

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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Gabor Csardi, Katherine Strandburg, Laszlo Zalanyi, Jan Tobochnik, Peter Erdi. 2006-06-05. Estimating the dynamics of kernel-based evolving networks. https://arxiv.org/abs/cond-mat/0605497

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