A Modular Framework for Centrality and Clustering in Complex Networks

A Modular Framework for Centrality and Clustering in Complex Networks

The structure of many complex networks includes edge directionality and weights on top of their topology. Network analysis that can seamlessly consider combination of these properties are desirable. In this paper, we study two important such network analysis techniques, namely, centrality and cluste...

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Bibliographic Details
Main Authors: Frederique Oggier, Silivanxay Phetsouvanh, Anwitaman Datta
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Directed weighted graphs
entropy
centrality
graph clustering
random walkers
Online Access:https://ieeexplore.ieee.org/document/9756449/

Internet

https://ieeexplore.ieee.org/document/9756449/

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