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Using NonBacktracking Expansion to Analyze k-core Pruning Process

Authors :
Wu, Rui-jie
Kong, Yi-Xiu
Shi, Gui-yuan
Zhang, Yi-Cheng
Publication Year :
2018

Abstract

We induce the NonBacktracking Expansion Branch method to analyze the k-core pruning process on the monopartite graph G which does not contain any self-loop or multi-edge. Different from the traditional approaches like the generating functions or the degree distribution evolution equations which are mathematically difficult to solve, this method provides a simple and intuitive solution of the k-core pruning process. Besides, this method can be naturally extended to study the k-core pruning process on correlated networks, which is among the few attempts to analytically solve the problem.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1811.04295
Document Type :
Working Paper