Dynamic Processes on Complex Networks

Due to the COVID19 epidemic, we are prepared to discuss the extension of the submission date with each author individually. Besides, given the current worldwide interest in COVID19 data analysis and modelling, contributions on this topic are highly welcome.

 

Dear Colleagues,

The emergence of new functional properties at a larger scale, as a paradigm of complexity, is based on the apparent interdependence between nonlinear dynamics and the underlying network structure. This Special Issue welcomes contributions highlighting current trends in structural and dynamical perspectives of complex systems. The goal is to unravel the impact of specific structural properties (described by directed weighted mono- and bipartite networks, hyperbolic graphs, and graphs with simplicial complexes architecture, as well as networks inferred from the empirical data such as brain graphs and online social networks) in the emergence of collective dynamics. On the other hand, some aspects of the dynamics are sensibly combined with or modified by a particular structure to stimulate cooperative behavior. These dynamical features can be sought in traffic and diffusion of various contents (information, knowledge, emotion, trust), dissemination of social conducts (opinions, rumors, riots, computer viruses, diseases), as well as synchronization processes in the original brain networks, spin kinetics, and avalanching dynamics in complex materials. A further goal is to understand and describe the complexity of the interface between structure and dynamics, based on temporal and geometric interpretation of time series, information topology and entropy, and on various concepts of multiscale processes. We look forward to submissions, both research articles and short reviews, addressing theoretical developments and numerical modeling, as well as empirical data analysis.

Prof. Bosiljka Tadic
Guest Editor

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