Weight thresholding on complex networks

Weight thresholding is a simple technique that aims at reducing the number of edges in weighted networks that are otherwise too dense for the application of standard graph theoretical methods. We show that the group structure of real weighted networks is very robust under weight thresholding, as it is maintained even when most of the edges are removed. This appears to be related to the correlation between topology and weight that characterizes real networks. On the other hand, the behavior of other properties is generally system dependent.


Publication Date:
Oct 05 2018
Date Submitted:
Jul 01 2019
Pagination:
42304
Citation:
Physical Review E.
98
External Resources:




 Record created 2019-07-01, last modified 2019-08-06


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