A novel framework for community modeling and characterization in directed temporal networks

A novel framework for community modeling and characterization in directed temporal networks

Abstract We deal with the problem of modeling and characterizing the community structure of complex systems. First, we propose a mathematical model for directed temporal networks based on the paradigm of activity driven networks. Many features of real-world systems are encapsulated in our model, suc...

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Bibliographic Details
Main Authors: Christian Bongiorno, Lorenzo Zino, Alessandro Rizzo
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:Applied Network Science
Subjects:
Activity driven network
Backbone
Community structure
Heterogeneity
Parameter identification
Time-varying network
Online Access:http://link.springer.com/article/10.1007/s41109-019-0119-2

Internet

http://link.springer.com/article/10.1007/s41109-019-0119-2

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