Advances in network clustering and blockmodeling / edited by Patrick Doreian, Vladimir Batagelj, Anuska Ferligoj.

Format:

Book

Author/Creator:

Doreian, Patrick, author.

Contributor:

Doreian, Patrick, editor.

Batagelj, Vladimir, 1948- editor.

Ferligoj, Anuška, editor.

Series:

Wiley series in computational and quantitative social science.

Wiley Series in Computational and Quantitative Social Science

Language:

English

Subjects (All):

Social networks--Mathematical models.

Social networks.

Sociometry.

Physical Description:

1 online resource (428 pages).

Edition:

1st edition

Place of Publication:

Hoboken, NJ : Wiley, 2020.

System Details:

text file

Summary:

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.

Contents:

Bibliometric analyses of the network clustering literature / Vladimir Batagelj, Anuška Ferligoj, and Patrick Doreian

Clustering approaches to networks / Vladimir Batagelj

Different approaches to community detection / Martin Rosvall, JeanCharles Delvenne, Michael T. Schaub, and Renaud Lambiotte

Label propagation for clustering / Lovro Šubelj

Blockmodeling of valued networks / Carl Nordlund and Aleš Žiberna

Treating missing network data before partitioning / Anja Žnidar šič, Patrick Doreian, and Anuška Ferligoj

Partitioning signed networks / Vincent Traag, Patrick Doreian, and Andrej Mrvar

Partitioning multimode networks / Martin G Everett, and Stephen P Borgatti

Partitioning linked networks / Aleš Žiberna

Bayesian stochastic blockmodeling / Tiago P. Peixoto

Structured networks and coarsegrained descriptions: a dynamical perspective / Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte, and Mauricio Barahona

Scientific coauthorship networks / Marjan Cugmas, Anuška Ferligoj, and Luka Kronegger

Conclusions and directions for future work / Patrick Doreian, Anuška Ferligoj, and Vladimir Batagelj.

Notes:

Description based on print version record.

Includes bibliographical references and indexes.

ISBN:

9781119224679

1119224675

9781119483298

1119483298

9781119224686

1119224683

OCLC:

1222919782