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Wiley Series in Computational and Quantitative Social Science Ser.: Advances in Network Clustering and Blockmodeling by Vladimir Batagelj (2020, Hardcover)
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-101119224705
ISBN-139781119224709
eBay Product ID (ePID)2309786041
Product Key Features
Number of Pages432 Pages
LanguageEnglish
Publication NameAdvances in Network Clustering and Blockmodeling
Publication Year2020
SubjectMethodology, Probability & Statistics / General, General
TypeTextbook
AuthorVladimir Batagelj
Subject AreaMathematics, Social Science
SeriesWiley Series in Computational and Quantitative Social Science Ser.
FormatHardcover
Dimensions
Item Height1.1 in
Item Weight31.3 Oz
Item Length9.7 in
Item Width6.7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2019-024475
Dewey Edition23
Dewey Decimal302.30113
SynopsisProvides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodeling Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner Presents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arrays Features numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectively Written by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis.
LC Classification NumberHM741.A35 2020
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