EAN: 9783030146825

Bilder-Quelle: shopping24.de – Sport

This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics complex systems network theory and machine learning. Examples of such topics are: predicting missing links higher-order generative modeling of networks inferring network structure by tracking the evolution and dynamics of digital traces recommender systems and diffusion processes.The book contains extended versions of high-quality submissions received at the workshop Dynamics On and Of Complex Networks (doocn.org) together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students postdoctoral researchers and professors of various disciplines including sociology physics mathematics and computer science.

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03.04.2025 um 23:02 Uhr

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