This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks.
Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented.
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Springer - Models, Algorithms, and Technologies for Network Analysis (2017).pdf
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