Advances in Network Clustering and Blockmodeling

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Éditeur :

Wiley


Collection :

Wiley Series in Computational and Quantitative Social Science

Paru le : 2019-12-16

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Description

Provides 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.
Pages
432 pages
Collection
Wiley Series in Computational and Quantitative Social Science
Parution
2019-12-16
Marque
Wiley
EAN papier
9781119224709
EAN PDF
9781119224686

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
432
Taille du fichier
15790 Ko
Prix
97,01 €
EAN EPUB
9781119224679

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
432
Taille du fichier
35727 Ko
Prix
97,01 €