Finding Important Edges in Networks through Local Information
Author:
Affiliation:
1. School of Computer Science and Engineering University of Electronic Science and Technology of China,Chengdu,P.R. China,611731
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9674217/9674209/09674277.pdf?arnumber=9674277
Reference42 articles.
1. Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts
2. Finding community structure in networks using the eigenvectors of matrices
3. Emergence of Scaling in Random Networks
4. Identifying significant edges via neighborhood information
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