Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Fine.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Good. Cover and edges may have some wear. Loose binding, good reading copy.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Very Good. Cover and edges may have some wear.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Marlton Books, Bridgeton, NJ, U.S.A.
Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2017.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Prior Books Ltd, Cheltenham, United Kingdom
First Edition
Hardcover. Condition: Like New. First Edition. Publisher's hardback, firm, square and tight with sharp corners and sturdy hinges, just showing a few minor rubs and some mild cosmetic wear. Hence a non-text page is stamped 'damaged'. Despite such this book is in nearly new condition. Looks and appears unread. Thus the contents are crisp, fresh and clean. Now offered for sale at a very sensible price.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: 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.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: 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.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Basi6 International, Irving, TX, U.S.A.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Book Grocer, Tullamarine, VIC, Australia
Hardback. Vito Latora (Queen Mary University of London), Cambridge University Press. 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. Hardback.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by Cambridge University Press CUP, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 71.78
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Add to basketCondition: New. In.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 559 pages. 10.00x8.00x1.00 inches. In Stock.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: 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.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. . . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
Condition: New. . . 2017. 1st Edition. Hardcover. . . . .
Language: English
Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 559 pages. 10.00x8.00x1.00 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: moluna, Greven, Germany
Gebunden. Condition: 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 .
Language: English
Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 1107103185 ISBN 13: 9781107103184
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.