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Exploring the intricate field of network science, this book delves into the modeling of complex systems through networks represented as graphs. It highlights the versatility of these models in illustrating various real-world phenomena, such as chemical interactions and neural connections. To effectively analyze these complex networks, readers are introduced to a comprehensive set of analytical tools, including graph theory, linear algebra, and machine learning, equipping them to understand and interpret the underlying complexities of diverse systems.
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The Atlas for the Aspiring Network Scientist, Michele Coscia
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- 2021
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