Community detection in networks using self-avoiding random walks-Reference-Cited by-同舟云学术

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Community detection in networks using self-avoiding random walks

Published:2018-09 Issue: Volume:505 Page:1046-1055
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

de Guzzi Bagnato Guilherme,Ronqui José Ricardo Furlan,Travieso Gonzalo

Funder

Information Technology Superintendence

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference59 articles.

1. Introduction to Percolation Theory;Stauffer,1971

2. Synchronization Reveals Topological Scales in Complex Networks

3. Epidemic Spreading in Scale-Free Networks

4. Scaling of random spreading in small world networks

5. Scaling properties of random walks on small-world networks

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1. Efficient network exploration by means of resetting self-avoiding random walkers;Journal of Physics: Complexity;2023-10-09

2. A network exploration model based on memory and local information;Social Network Analysis and Mining;2022-10-03

3. Peertrap: An Unstructured P2P Botnet Detection Framework Based on SAW Community Discovery;Wireless Communications and Mobile Computing;2022-02-08

4. Network navigation with non-Lèvy superdiffusive random walks;Physica A: Statistical Mechanics and its Applications;2021-10

5. How information prospection facilitates spatial coverage of self-avoiding walks;Journal of Statistical Mechanics: Theory and Experiment;2021-10-01

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