DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: 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.

Authors:
 [1];  [2];  [1]
  1. Nanjing Univ. (China); Univ. of Illinois at Urbana-Champaign, IL (United States)
  2. Boston Univ., MA (United States)
Publication Date:
Research Org.:
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE; National Natural Science Foundation of China (NSFC); National Science Foundation (NSF); Defense Threat Reduction Agency (DTRA)
OSTI Identifier:
1624425
Grant/Contract Number:  
AC07-05ID14517; 71673131; PHY-1505000; CMMI-1125290; CHE-1213217; HDTRA1-14-1-0017
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 8; Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Core Structure; Science Network Publishing; Adjacent Nodes; Complex Network; System; Edge Betweenness

Citation Formats

Zhang, Ronda J., Stanley, H. Eugene, and Ye, Fred Y. Extracting h-Backbone as a Core Structure in Weighted Networks. United States: N. p., 2018. Web. doi:10.1038/s41598-018-32430-1.
Zhang, Ronda J., Stanley, H. Eugene, & Ye, Fred Y. Extracting h-Backbone as a Core Structure in Weighted Networks. United States. https://doi.org/10.1038/s41598-018-32430-1
Zhang, Ronda J., Stanley, H. Eugene, and Ye, Fred Y. Tue . "Extracting h-Backbone as a Core Structure in Weighted Networks". United States. https://doi.org/10.1038/s41598-018-32430-1. https://www.osti.gov/servlets/purl/1624425.
@article{osti_1624425,
title = {Extracting h-Backbone as a Core Structure in Weighted Networks},
author = {Zhang, Ronda J. and Stanley, H. Eugene and Ye, Fred Y.},
abstractNote = {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.},
doi = {10.1038/s41598-018-32430-1},
journal = {Scientific Reports},
number = 1,
volume = 8,
place = {United States},
year = {Tue Sep 25 00:00:00 EDT 2018},
month = {Tue Sep 25 00:00:00 EDT 2018}
}

Works referenced in this record:

Community structure in social and biological networks
journal, June 2002

  • Girvan, M.; Newman, M. E. J.
  • Proceedings of the National Academy of Sciences, Vol. 99, Issue 12
  • DOI: 10.1073/pnas.122653799

Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
journal, June 2001


Backbone of complex networks of corporations: The flow of control
journal, September 2009


The Structure and Function of Complex Networks
journal, January 2003


Finding community structure in networks using the eigenvectors of matrices
journal, September 2006


Information filtering in complex weighted networks
journal, April 2011


Statistical mechanics of complex networks
journal, January 2002


Collective dynamics of ‘small-world’ networks
journal, June 1998

  • Watts, Duncan J.; Strogatz, Steven H.
  • Nature, Vol. 393, Issue 6684
  • DOI: 10.1038/30918

The Role, Use and Activation of Strong and Weak Network Ties: A Qualitative Analysis*
journal, September 2005


The architecture of complex weighted networks
journal, March 2004

  • Barrat, A.; Barthelemy, M.; Pastor-Satorras, R.
  • Proceedings of the National Academy of Sciences, Vol. 101, Issue 11
  • DOI: 10.1073/pnas.0400087101

Exploring the directed h-degree in directed weighted networks
journal, October 2012


The Strength of Weak Ties
journal, May 1973

  • Granovetter, Mark S.
  • American Journal of Sociology, Vol. 78, Issue 6
  • DOI: 10.1086/225469

h-Degree as a basic measure in weighted networks
journal, October 2011


Node centrality in weighted networks: Generalizing degree and shortest paths
journal, July 2010


Scale-free trees: The skeletons of complex networks
journal, October 2004


Hirsch-type indices for characterizing networks
journal, November 2008


Exploring complex networks
journal, March 2001


Extracting the Globally and Locally Adaptive Backbone of Complex Networks
journal, June 2014


Extracting the multiscale backbone of complex weighted networks
journal, April 2009

  • Serrano, M. A.; Boguna, M.; Vespignani, A.
  • Proceedings of the National Academy of Sciences, Vol. 106, Issue 16
  • DOI: 10.1073/pnas.0808904106

Emergence of Scaling in Random Networks
journal, October 1999


Social network analysis: a powerful strategy, also for the information sciences
journal, December 2002


A Set of Measures of Centrality Based on Betweenness
journal, March 1977


Network science
journal, January 2007

  • Börner, Katy; Sanyal, Soma; Vespignani, Alessandro
  • Annual Review of Information Science and Technology, Vol. 41, Issue 1
  • DOI: 10.1002/aris.2007.1440410119

Social Network Analysis
book, January 1994


Abstracting the core subnet of weighted networks based on link strengths: Abstracting Core Subnet of Weighted Networks Based on Link Strengths
journal, January 2014

  • Zhao, Star X.; Zhang, Paul L.; Li, Jiang
  • Journal of the Association for Information Science and Technology, Vol. 65, Issue 5
  • DOI: 10.1002/asi.23030

The H-index of a network node and its relation to degree and coreness
journal, January 2016

  • Lü, Linyuan; Zhou, Tao; Zhang, Qian-Ming
  • Nature Communications, Vol. 7, Issue 1
  • DOI: 10.1038/ncomms10168

An index to quantify an individual's scientific research output
journal, November 2005


Complex networks: Structure and dynamics
journal, February 2006


Extracting the Information Backbone in Online System
journal, May 2013


Works referencing / citing this record:

Simplifying Weighted Heterogeneous Networks by Extracting h-Structure via s-Degree
journal, December 2019