Complexity

Coevolving Spreading Dynamics of Complex Networks


Publishing date
01 Aug 2021
Status
Closed
Submission deadline
19 Mar 2021

Lead Editor

1University of Electronic Science and Technology of China, Chengdu, China

2Chongqing University of Posts and Telecommunications, Chongqing, China

3University of New South Wales, Sydney, Australia

4Deakin University, Geelong, Australia

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

Coevolving Spreading Dynamics of Complex Networks

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

Description

The nonlinear spreading dynamics of epidemiological and digital epidemiology aims at revealing the evolution and emergent behaviour propagations of diseases, behaviour, and information in the networked socio-technical systems. Those spreading dynamics are rarely independent from each other, yet they are coevolving with strong interactions.

Recently, to uncover and understand the interacting mechanisms, spatio-temporal evolving patterns, critical phenomena, and phase transitions of networked coevolution spreading is a hot topic in network science. The significance of this issue and why it attracts increasing attention lies in three aspects. Coevolving spreading widely exists in epidemiological and social systems with important practical relevance, for example, the HIV results in lower immunity of virus carriers, who are therefore more susceptible to infectious diseases such as tuberculosis and hepatitis. Another positive example is that the propagation of disease-related information in social media could largely depress the spreading of the corresponding epidemic disease. The complex interactions during the coevolving dynamics lead to rich phase transition phenomena and novel physics, such as the coexisting thresholds caused by competitive interactions and the first-order phase transition caused by cooperation interactions. The multiscale structure, multiplexity, and temporality of networks remarkably affects the criticality of spreading dynamics, not only the value of thresholds, but also the critical exponents and the type of phase transitions.

This Special Issue aims to provide both theoretical and empirical investigations about the coevolving spreading dynamics on complex networks. We warmly encourage original related research papers from different disciplines ranging from biology, physics, computer science, mathematics, and sociology. Furthermore, high-quality review articles describing the current state of the art are also invited.

Potential topics include but are not limited to the following:

  • Deterministic/stochastic model of coevolving spreading
  • Data-driven model for coevolving spreading
  • Coevolving epidemic spreading in biological systems
  • Coevolving social contagions in social systems
  • Coevolving of epidemiological-social spreading
  • Evolution and emergent behaviour of coevolving spreading with distinct interaction mechanisms
  • Source identification and influential maximization for coevolving spreading
  • New theoretical approaches for coevolving spreading
  • Critical phenomena and phase transitions in coevolving spreading
  • Dynamical analysis and control of coevolving spreading
  • Modelling coevolving spreading on single, multilayer, multiplex, interconnected and temporal complex networks
  • Modelling coevolving spreading with distinct interacting mechanisms

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 6672630
  • - Research Article

Predicting Spread Probability of Learning-Effect Computer Virus

Wei-Chang Yeh | Edward Lin | Chia-Ling Huang
  • Special Issue
  • - Volume 2021
  • - Article ID 6612451
  • - Research Article

A Virus Propagation Model and Optimal Control Strategy in the Point-to-Group Network to Information Security Investment

Liping Feng | Ruifeng Han | ... | Qi Han
  • Special Issue
  • - Volume 2021
  • - Article ID 6644292
  • - Research Article

Dynamic Analysis of a Competition-Cooperation Enterprise Cluster with Core-Satellite Structure and Time Delay

Wenjie Hu | Tao Dong | Hua Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 5515549
  • - Research Article

Coevolving Dynamics between Epidemic and Information Spreading considering the Dependence between Vigilance and Awareness Prevalence

Yixiao Zhang | Xing Lu | ... | Xiyun Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 5554322
  • - Research Article

Information Entropy Based on Propagation Feature of Node for Identifying the Influential Nodes

Linfeng Zhong | Yu Bai | ... | Weijun Pan
  • Special Issue
  • - Volume 2021
  • - Article ID 9923837
  • - Research Article

Competing Complex Information Spreading in Multiplex Social Network

Xiang Li | Bocheng Hou
  • Special Issue
  • - Volume 2021
  • - Article ID 6655469
  • - Research Article

Symbiosis Evolution of Science Communication Ecosystem Based on Social Media: A Lotka–Volterra Model-Based Simulation

Ming Xia | Xiangwu He | Yubin Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 6664530
  • - Research Article

Time-Frequency Analysis and Target Recognition of HRRP Based on CN-LSGAN, STFT, and CNN

Jianghua Nie | Yongsheng Xiao | ... | Feng Lv
  • Special Issue
  • - Volume 2021
  • - Article ID 6614545
  • - Research Article

Identifying the Influential Latent Edges for Promoting the Co-SIR Model

Dan Yang | Liming Pan | ... | Tao Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 6694383
  • - Research Article

Impact of Defending Strategy Decision on DDoS Attack

Chunming Zhang
Complexity
Publishing Collaboration
More info
Wiley Hindawi logo
 Journal metrics
Acceptance rate43%
Submission to final decision64 days
Acceptance to publication35 days
CiteScore3.300
Impact Factor2.833
 Submit

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.