A Reciprocity-Based Method for Improving Community Detection on Directed Friendship Networks-Reference-Cited by-同舟云学术

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A Reciprocity-Based Method for Improving Community Detection on Directed Friendship Networks

Published:2022-09-30 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE MIT Undergraduate Research Technology Conference (URTC)
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Author:

Feuer Sam¹,Hopkins Wyatt²,Rollo David³,Wright John⁴,Sharma Dinesh⁵,Moradi-Jamei Behnaz⁵

Affiliation:

1. Wesleyan University,Dept. of Mathematics and Computer Science,Middletown,United States

2. Wentworth Institute of Technology,School of Computing and Data Science,Boston,United States

3. Utah State University,Mathematics and Statistics Dept.,Logan,United States

4. The Ohio State University,Dept. of Mathematics, Dept. of Statistics,Columbus,United States

5. James Madison University,Dept. of Mathematics and Statistics,Harrisonburg,United States

Funder

National Science Foundation

James Madison University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10002168/10002169/10002173.pdf?arnumber=10002173

Reference44 articles.

1. Fast unfolding of communities in large networks

2. Friendship networks and social status

3. Maximizing modularity is hard;brandes,2006

4. Friends, enemies, and lovers: Detecting communities in networks where relationships matter;jurgens,2012

5. Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks

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