Extracting h-Backbone as a Core Structure in Weighted Networks

Abstract

Determining the core structure of complex network systems allows us to simplify them. Using h-bridge and h-strength measurements in a weighted network, we extract the h-backbone core structure. We find that focusing on the h-backbone in a network allows greater simplification because it has fewer edges and thus fewer adjacent nodes. We examine three practical applications: the co-citation network in an information system, the open flight network in a social system, and coauthorship in network science publications.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 25, 2018
Source ID
10.1038/s41598-018-32430-1

Entities

People

  • Fred Y. Ye
  • H. Eugene Stanley
  • Ronda J. Zhang

Organizations

  • National Natural Science Foundation of China

Tags

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Polar and Arctic Studies