Discrete Dynamics in Nature and Society

Special Issue on Dynamical Modeling, Analysis, and Control of Information Diªusion over Social Networks CALL FOR PAPERS Information dišusion is a complex and dynamic process that involves the topological Lead Guest Editor factor of social networks, and the geographical and psychological factors of Chenquan Gan, University individuals, etc. It has a wide range of applications, including online marketing, of Posts and Telecommunications, recommendation systems, and prevention of malware and rumours propagation. Chongqing, As dynamical models are in forms of dišerence, dišerential, partial dišerential, gcqòýÔýcqu@Ôâç.com or stochastic dišerential equations, the corresponding mathematical tools, such as stability and bifurcation analysis, matrix analysis, perturbation theory, and fuzzy Guest Editors rules, can help us to understand the complex behaviours of the dišusion process. Qingyi Zhu, Chongqing University of Posts and Telecommunications, Although lots of dynamical models describing the behaviours of information Chongqing, China dišusion have been proposed, it is still a challenging interdisciplinary task to explain [email protected] and predict the dynamics of the dišusion process in complex networks. Meanwhile, since there is an increasing interest in the study of how to control the dišusion Wei Wang, University, of positive information, negative information, misinformation, and rumour, it is Chengdu, China essential to study control models for information dišusion using hybrid control [email protected] methods. Jianxin Li, Deakin University, is Special Issue aims to provide both theoreticians and practitioners with a Melbourne, Australia platform to disseminate their research on the modelling, analysis, and optimization [email protected] of information dišusion over social networks. We encourage original related research papers from dišerent disciplines ranging from computer science, physics, Submission Deadline mathematics, to sociology. Furthermore, high-quality review articles describing the Friday, Ô¥ August òýòý current state of the art are also invited. Publication Date Potential topics include but are not limited to the following: January òýòÔ Recent developments in the area of information dišusion Deterministic/ stochastic model of information dišusion Data-centric model for information dišusion Numerical modeling approaches for information dišusion Optimization of dynamic process in networks Dišusion source identication and locating Methods to enhance/suppress information dišusion Dynamical analysis and control of rumour dissemination Dynamical analysis and control of malware spread Deep learning and its applications for information dišusion New methods and models of massive information data processing and transmitting

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