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Books > Computing & IT > Computer communications & networking > Networking standards & protocols

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Computational Network Science - An Algorithmic Approach (Paperback) Loot Price: R806
Discovery Miles 8 060
You Save: R60 (7%)
Computational Network Science - An Algorithmic Approach (Paperback): Henry Hexmoor

Computational Network Science - An Algorithmic Approach (Paperback)

Henry Hexmoor

Series: Computer Science Reviews and Trends

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List price R866 Loot Price R806 Discovery Miles 8 060 | Repayment Terms: R76 pm x 12* You Save R60 (7%)

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The emerging field of network science represents a new style of research that can unify such traditionally-diverse fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatible datasets, which has kept it from being a truly universal discipline. Computational Network Science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of Network Science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way. This new approach would remove the need for tedious human-based analysis of different datasets and help researchers spend more time on the qualitative aspects of network science research.

General

Imprint: Morgan Kaufmann Publishers In
Country of origin: United States
Series: Computer Science Reviews and Trends
Release date: September 2014
Authors: Henry Hexmoor
Dimensions: 229 x 152 x 8mm (L x W x T)
Format: Paperback
Pages: 128
ISBN-13: 978-0-12-800891-1
Categories: Books > Computing & IT > Computer communications & networking > Networking standards & protocols
LSN: 0-12-800891-1
Barcode: 9780128008911

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