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Abstract:
In recent years, there has been high demand for novel and accurate mathematical models, and fast, stable and scalable computational techniques to address problems emerging from applications on real-world networks, such as online social networking, smart power grids, Internet of Things. In these applications, big data is often generated, collected, stored and processed in large-scale heterogeneous networks. New models and computational methods must tackle challenges of inhomogeneous structures of networks, randomness of time-varying dynamics, and noise in data. This mini-symposium focuses on the recent advances of mathematical modeling and numerical methods as well as their applications.
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