Dynamics of Complex Networks

Dear Colleagues,

In the past few decades, network science has been an invaluable approach used to capture the dynamics of complex systems in different fields. The dynamics of both static and temporal networks (monolayer or multilayer) have successfully revealed the mechanisms of collective behavior, the fragility of systems, and the outbreak of disease.

The aim of the current Special Issue is to bring together experts from various disciplines to present their new and advanced methodologies and models for the dynamical process of complex networks. In the context of the current framework of this Special Issue, diverse aspects will be discussed, namely, the simple and coupled diffusion process; the emergent phenomena; the cascade propagation of failures; the dissemination of opinions and the influence of social networks; the evolution of strategy behaviors; and the enhancement of resilience and robustness using partial knowledge, synchronization, and predictability, in terms of the network topology and interaction strengths.

Prof. Dr. Jianxi Gao
Dr. Lu Zhong
Prof. Dr. Boleslaw K. Szymanski
Dr. Xueming Liu
Guest Editors

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