Computational Network Science An Algorithmic Approach

Computational Network Science An Algorithmic Approach

Hexmoor, Henry
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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.

  • Demystifies media hype regarding Network Science and serves as a fast-paced introduction to state-of-the-art concepts and systems related to network science
  • Comprehensive coverage of Network Science algorithms, methodologies, and common problems
  • Includes references to formative and updated developments in the field
  • Coverage spans mathematical sociology, economics, political science, and biological networks

年:
2016
版本:
1
出版商:
Morgan Kaufmann Pub, , Elsevier Inc
語言:
english
頁數:
115
ISBN 10:
0128008911
ISBN 13:
9780128008911
系列:
Computer Science Reviews and Trends
文件:
PDF, 8.08 MB
IPFS:
CID , CID Blake2b
english, 2016
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