Random Processes on Graphs

Dear Colleagues,

Understanding and ultimately controlling complex systems usually necessitates the development of appropriate mathematical models to elucidate their properties and the inner workings. For this Special Issue, graph-like models are of specific interest together with associated models of stochastic events and other random effects that define the behavior and responses of complex dynamic systems. The papers submitted to this Special Issue can present fundamental contributions to the theory of graph-like random processes, or be more applied in their nature, for instance, derive the properties of information and disease spreading over networks, obtain the fundamental limits of object flows through networks, and consider other relevant applications such as object tracking in networks, synchronization in networks, time evolution of networks, stochastic inference of parameters and structure in networks, trade-offs, and optimization of network models and similar. In order to fit the scope of this Special Issue, the submitted papers will be expected to investigate (1) a graph-like model, (2) the model to inherit some stochastic aspects, and (3) the model to reflect some dynamic properties of the selected system.

Dr. Pavel Loskot
Dr. Tianhai Tian
Guest Editors

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