- Home
- Publications
- Publication Search
- Publication Details
Title
Characterizing cycle structure in complex networks
Authors
Keywords
-
Journal
Communications Physics
Volume 4, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-12-20
DOI
10.1038/s42005-021-00781-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The characteristics of cycle-nodes-ratio and its application to network classification
- (2021) Wenjun Zhang et al. Communications in Nonlinear Science and Numerical Simulation
- Identifying vital nodes by Achlioptas process
- (2021) Zhihao Qiu et al. NEW JOURNAL OF PHYSICS
- Evaluating the effect of Chinese control measures on COVID-19 via temporal reproduction number estimation
- (2021) Duanbing Chen et al. PLoS One
- Percolation on complex networks: Theory and application
- (2021) Ming Li et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions
- (2020) Quan-Hui Liu et al. PLoS Computational Biology
- Totally Homogeneous Networks
- (2019) Dinghua Shi et al. National Science Review
- Fast influencers in complex networks
- (2019) Fang Zhou et al. Communications in Nonlinear Science and Numerical Simulation
- Information spreading dynamics in hypernetworks
- (2018) Qi Suo et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Optimizing Pinning Control of Complex Dynamical Networks Based on Spectral Properties of Grounded Laplacian Matrices
- (2018) Hui Liu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Cliques and cavities in the human connectome
- (2017) Ann E. Sizemore et al. JOURNAL OF COMPUTATIONAL NEUROSCIENCE
- Effective spreading from multiple leaders identified by percolation in the susceptible-infected-recovered (SIR) model
- (2017) Shenggong Ji et al. NEW JOURNAL OF PHYSICS
- Vital nodes identification in complex networks
- (2016) Linyuan Lü et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
- (2016) Valentina Cappello et al. Scientific Reports
- Epidemic processes in complex networks
- (2015) Romualdo Pastor-Satorras et al. REVIEWS OF MODERN PHYSICS
- Control Profiles of Complex Networks
- (2014) J. Ruths et al. SCIENCE
- Searching for Optimal Network Topology with Best Possible Synchronizability
- (2013) D. Shi et al. IEEE Circuits and Systems Magazine
- Spreading dynamics in complex networks
- (2013) Sen Pei et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Evolutionary Pinning Control and Its Application in UAV Coordination
- (2012) Yang Tang et al. IEEE Transactions on Industrial Informatics
- Information storage, loop motifs, and clustered structure in complex networks
- (2012) Joseph T. Lizier et al. PHYSICAL REVIEW E
- Systemic risk in banking ecosystems
- (2011) Andrew G. Haldane et al. NATURE
- Mitigation of malicious attacks on networks
- (2011) C. M. Schneider et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Identification of influential spreaders in complex networks
- (2010) Maksim Kitsak et al. Nature Physics
- Thresholds for Epidemic Spreading in Networks
- (2010) Claudio Castellano et al. PHYSICAL REVIEW LETTERS
- Reaching a consensus via pinning control
- (2009) Fei Chen et al. AUTOMATICA
- Ranking Vertices or Edges of a Network by Loops: A New Approach
- (2008) Valery Van Kerrebroeck et al. PHYSICAL REVIEW LETTERS
- Local Structure of Directed Networks
- (2008) Ginestra Bianconi et al. PHYSICAL REVIEW LETTERS
- Synchronization in complex networks
- (2008) Alex Arenas et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started