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Computational Intelligence for Network Structure Analytics

Language EnglishEnglish
Book Hardback
Book Computational Intelligence for Network Structure Analytics Maoguo Gong
Libristo code: 16080912
Publishers Springer Verlag, Singapore, September 2017
This book presents the latest research advances in complex network structure analytics based on comp... Full description
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This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI's scope and applications.
As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment.
Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work.

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About the book

Full name Computational Intelligence for Network Structure Analytics
Language English
Binding Book - Hardback
Date of issue 2017
Number of pages 283
EAN 9789811045578
ISBN 9811045577
Libristo code 16080912
Weight 5679
Dimensions 155 x 235 x 23
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