Discrete Dynamics in Nature and Society

Dynamical Modeling, Analysis, and Control of Information Diffusion over Social Networks


Publishing date
01 Jan 2021
Status
Published
Submission deadline
14 Aug 2020

Lead Editor

1Chongqing University of Posts and Telecommunications, Chongqing, China

2Sichuan University, Chengdu, China

3Deakin University, Melbourne, Australia


Dynamical Modeling, Analysis, and Control of Information Diffusion over Social Networks

Description

Information diffusion is a complex and dynamic process that involves the topological factor of social networks, and the geographical and psychological factors of individuals, etc. It has a wide range of applications, including online marketing, recommendation systems, and prevention of malware and rumours propagation. As dynamical models are in forms of difference, differential, partial differential, or stochastic differential equations, the corresponding mathematical tools, such as stability and bifurcation analysis, matrix analysis, perturbation theory, and fuzzy rules, can help us to understand the complex behaviours of the diffusion process.

Although lots of dynamical models describing the behaviours of information diffusion have been proposed, it is still a challenging interdisciplinary task to explain and predict the dynamics of the diffusion process in complex networks. Meanwhile, since there is an increasing interest in the study of how to control the diffusion of positive information, negative information, misinformation, and rumour, it is essential to study control models for information diffusion using hybrid control methods.

This Special Issue aims to provide both theoreticians and practitioners with a platform to disseminate their research on the modelling, analysis, and optimization of information diffusion over social networks. We encourage original related research papers from different disciplines ranging from computer science, physics, mathematics, to 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:

  • Recent developments in the area of information diffusion
  • Deterministic/ stochastic model of information diffusion
  • Data-centric model for information diffusion
  • Numerical modeling approaches for information diffusion
  • Optimization of dynamic process in networks
  • Diffusion source identification and locating
  • Methods to enhance/suppress information diffusion
  • Dynamical analysis and control of rumour dissemination
  • Dynamical analysis and control of malware spread
  • Deep learning and its applications for information diffusion
  • New methods and models of massive information data processing and transmitting

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 9352153
  • - Research Article

Weibo Rumor Recognition Based on Communication and Stacking Ensemble Learning

Yu Wu | Yan Zeng | ... | Zhenni Zhao
  • Special Issue
  • - Volume 2020
  • - Article ID 2784826
  • - Research Article

A Subjective Expressions Extracting Method for Social Opinion Mining

Mingyong Yin | Haizhou Wang | ... | Rui Tang
  • Special Issue
  • - Volume 2020
  • - Article ID 6724815
  • - Research Article

Modeling a Rumor Propagation in Online Social Network: An Optimal Control Approach

Rachid Ghazzali | Amine El Bhih | ... | Mostafa Rachik
  • Special Issue
  • - Volume 2020
  • - Article ID 5712968
  • - Research Article

C-SIW Rumor Propagation Model with Variable Propagation Rate and Perception Mechanism in Social Networks

Liqing Qiu | Shuqi Liu
  • Special Issue
  • - Volume 2020
  • - Article ID 5284348
  • - Research Article

Impact of Immunization Strategies on the Dynamics of Social Contagions

Hao Peng | Wangxin Peng | ... | Zhonglong Zheng
  • Special Issue
  • - Volume 2020
  • - Article ID 3273451
  • - Research Article

Dynamical Modeling, Analysis, and Control of Information Diffusion over Social Networks: A Deep Learning-Based Recommendation Algorithm in Social Network

Kefei Cheng | Xiaoyong Guo | ... | Fengchi Shan
  • Special Issue
  • - Volume 2020
  • - Article ID 1915840
  • - Research Article

Modeling and Analysis of Dynamic Social Ties in D2D Collaborative Video Transmission

Qi Zhang | Zufan Zhang | ... | Xiaoke Li
Discrete Dynamics in Nature and Society
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Acceptance rate13%
Submission to final decision127 days
Acceptance to publication23 days
CiteScore2.000
Journal Citation Indicator0.410
Impact Factor1.4
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