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Centrality metrics for complex netwo...

Meghanathan, Natarajan, (1977-)

Centrality metrics for complex network analysisemerging research and opportunities /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Centrality metrics for complex network analysis/ by Natarajan Meghanathan.
其他題名:	emerging research and opportunities /
作者:	Meghanathan, Natarajan,
出版者:	Hershey, Pennsylvania :IGI Global, : [2018],
面頁冊數:	1 online resource (xv, 183 p.)
提要註:	"This book explores node and edge centrality metrics and real-world network graphs, computationally-light vs. computationally-heavy centrality metrics, centrality-based connected dominating sets for complex network graphs, assortativity analysis based on centrality metrics, time-dependent variation of the node centrality metrics during the evolution of a scale-free network, curriculum network graph analysis, and eigenvector centrality-based approach to detect graph isomorphism"--
標題:	Centrality (Graph theory) -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3802-8
ISBN:	9781522538035 (ebook)

Centrality metrics for complex network analysisemerging research and opportunities /
Meghanathan, Natarajan,1977-

Centrality metrics for complex network analysisemerging research and opportunities /[electronic resource] :by Natarajan Meghanathan. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xv, 183 p.)

Includes bibliographical references and index.

Chapter 1. Centrality metrics, measures, and real-world network graphs: Node and edge centrality metrics, correlation measures, and real-world network graphs -- Chapter 2. Computationally light vs. computationally heavy centrality metrics: correlation analysis between computationally light and computationally heavy centrality metrics -- Chapter 3. Centrality-based assortativity analysis of complex network graphs -- Chapter 4. Temporal variation of the node centrality metrics for scale-free networks -- Chapter 5. Edge centrality metrics to quantify the stability of links for mobile sensor networks -- Chapter 6. Use of eigenvector centrality for mobile target tracking -- Chapter 7. Use of centrality metrics for ranking of courses based on their relative contribution in a curriculum network graph.

Restricted to subscribers or individual electronic text purchasers.

"This book explores node and edge centrality metrics and real-world network graphs, computationally-light vs. computationally-heavy centrality metrics, centrality-based connected dominating sets for complex network graphs, assortativity analysis based on centrality metrics, time-dependent variation of the node centrality metrics during the evolution of a scale-free network, curriculum network graph analysis, and eigenvector centrality-based approach to detect graph isomorphism"--

ISBN: 9781522538035 (ebook)Subjects--Topical Terms:

433193
Centrality (Graph theory)

LC Class. No.: TK5102.83 / .M44 2018e

Dewey Class. No.: 511/.5

Centrality metrics for complex network analysisemerging research and opportunities /
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100 1 $a Meghanathan, Natarajan, $d 1977- $e editor. $3 407918
245 1 0 $a Centrality metrics for complex network analysis $h [electronic resource] : $b emerging research and opportunities / $c by Natarajan Meghanathan.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xv, 183 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Centrality metrics, measures, and real-world network graphs: Node and edge centrality metrics, correlation measures, and real-world network graphs -- Chapter 2. Computationally light vs. computationally heavy centrality metrics: correlation analysis between computationally light and computationally heavy centrality metrics -- Chapter 3. Centrality-based assortativity analysis of complex network graphs -- Chapter 4. Temporal variation of the node centrality metrics for scale-free networks -- Chapter 5. Edge centrality metrics to quantify the stability of links for mobile sensor networks -- Chapter 6. Use of eigenvector centrality for mobile target tracking -- Chapter 7. Use of centrality metrics for ranking of courses based on their relative contribution in a curriculum network graph.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores node and edge centrality metrics and real-world network graphs, computationally-light vs. computationally-heavy centrality metrics, centrality-based connected dominating sets for complex network graphs, assortativity analysis based on centrality metrics, time-dependent variation of the node centrality metrics during the evolution of a scale-free network, curriculum network graph analysis, and eigenvector centrality-based approach to detect graph isomorphism"-- $c Provided by publisher.
650 0 $a Centrality (Graph theory) $3 433193
650 0 $a System analysis $x Graphic methods. $3 433192
650 0 $a Telecommunication systems $x Mathematical models. $3 382445
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3802-8

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