9781107103184 - Complex Networks: Principles, Methods and Applications de Latora, Vito; Nicosia, Vincenzo; Russo, Giovanni (20 résultats)

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Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Hardcover. Etat : new. Hardcover. Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and the social sciences. Including real-world data sets and ready-to-use software tools, this book encourages hands-on experimentation with complex network data. Students are guided through varying levels of complexity to gain a deep understanding of the basics and applications of network theory, making this an ideal university-level textbook for students across the scientific disciplines. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and the social sciences.

Hardcover. Etat : Brand New. 559 pages. 10.00x8.00x1.00 inches. In Stock.

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Hardcover. Etat : new. Hardcover. Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and the social sciences. Including real-world data sets and ready-to-use software tools, this book encourages hands-on experimentation with complex network data. Students are guided through varying levels of complexity to gain a deep understanding of the basics and applications of network theory, making this an ideal university-level textbook for students across the scientific disciplines. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Etat : new. Hardcover. Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and the social sciences. Including real-world data sets and ready-to-use software tools, this book encourages hands-on experimentation with complex network data. Students are guided through varying levels of complexity to gain a deep understanding of the basics and applications of network theory, making this an ideal university-level textbook for students across the scientific disciplines. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Etat : Brand New. 559 pages. 10.00x8.00x1.00 inches. In Stock. This item is printed on demand.

Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Including real-world data sets and ready-to-use software tools, this book encourages hands-on experimentation with complex network data. Students are guided through varying levels of complexity to gain a deep understanding of the basics and applications of .