Complexity

Modeling and Propagation Dynamics Analysis of Complex Networks


Publishing date
01 Mar 2022
Status
Closed
Submission deadline
05 Nov 2021

Lead Editor

1Beijing Information Science & Technology University, Beijing, China

2Hangzhou Normal University, Hangzhou, China

3Beijing University of Posts and Telecommunications, Beijing, China

4Hong Kong Baptist University, Hong Kong

This issue is now closed for submissions.
More articles will be published in the near future.

Modeling and Propagation Dynamics Analysis of Complex Networks

This issue is now closed for submissions.
More articles will be published in the near future.

Description

There are many complex networks in the real world, such as interpersonal networks, biological networks, power system networks, and financial networks. Complex network propagation dynamics is the study of the propagation mechanism and dynamic behavior of various complex networks in society and nature, such as the spread of rumors in various media, the prevalence of infectious diseases in populations, the spread of viruses in computer networks, the chain failure in complex power grids, the domino effect of economic crisis, etc. Based on complex network theory, the study of communication in various complex systems is a hot topic in the field of network science. Experts in various disciplines, including computer science, biology, physics, human sociology, etc., are actively exploring how to avoid and control the spread of harmful information and faults in various fields of network.

Due to the complexity of network structures and propagation mechanisms, the research on propagation dynamics and control strategies of complex networks has not formed a complete theoretical system. It is helpful to understand the coupling dynamic evolution mechanism of network structure and disease or information by studying the process of disease or information transmission on the network through the network transmission dynamic model. It can also reveal the influence of network structure on disease or information transmission. It can also provide guidance for the development of disease prevention and control strategies and network public opinion control.

This Special Issue aims to collate both theoretical and empirical investigations about the coevolving spreading dynamics of complex networks. We welcome original research articles and review papers from different disciplines such as computer science, biology, physics, and human sociology.

Potential topics include but are not limited to the following:

  • Modeling of complex network propagation dynamics
  • Information dissemination and control
  • Modeling and analysis of complex biological systems
  • Interplay between the network structure and the propagation process
  • Stability analysis of complex networks
  • Information/opinion/knowledge dissemination and modeling
  • Dynamic behavior of information dissemination in the network
  • Disease spread in social networks
  • Continuous failures in the electric power network
  • Crisis spread in economic networks
  • The propagation dynamics of dynamic, coupled, and multi-layer networks
  • Control problems in propagation dynamics

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 3108327
  • - Research Article

Allocating Defense and Recovery Resources for Spatial Networks against Cascading Failures

Zhengcheng Dong | Meng Tian
  • Special Issue
  • - Volume 2022
  • - Article ID 9707749
  • - Research Article

On Topological Indices for Complex Indium Phosphate Network and Their Applications

Wang Hui | Lubna Sherin | ... | Samuel Asefa Fufa
  • Special Issue
  • - Volume 2022
  • - Article ID 4471361
  • - Research Article

Effect of Contact Preference among Heterogeneous Individuals on Social Contagions

Yining Xu | Jinghua Xiao | Xiaochen Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 4383202
  • - Research Article

Information Dissemination and Control of NIMBY Projects under Stigmatization

Changzheng Zhang | Yun Zhu | Lianyan Xu
  • Special Issue
  • - Volume 2021
  • - Article ID 5415724
  • - Research Article

MalSEIRS: Forecasting Malware Spread Based on Compartmental Models in Epidemiology

Isabella Martínez Martínez | Andrés Florián Quitián | ... | Félix Gómez Mármol
  • Special Issue
  • - Volume 2021
  • - Article ID 5682543
  • - Research Article

Optimal Control of ISTR Rumor Propagation Model with Social Reinforcement in Heterogeneous Network

Liang’an Huo | Sijing Chen | ... | Jianjia He
  • Special Issue
  • - Volume 2021
  • - Article ID 4178503
  • - Research Article

On Topological Analysis of Entropy Measures for Silicon Carbides Networks

Xing-Long Wang | Muhammad Kamran Siddiqui | ... | Mlamuli Dhlamini
  • Special Issue
  • - Volume 2021
  • - Article ID 7704586
  • - Research Article

Diagonal Degree Correlations vs. Epidemic Threshold in Scale-Free Networks

M. L. Bertotti | G. Modanese
Complexity
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Acceptance rate28%
Submission to final decision77 days
Acceptance to publication24 days
CiteScore3.500
Journal Citation Indicator0.740
Impact Factor2.121
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.