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Book's cover
The cover of “Advances in Network Clustering and Blockmodeling” - Open Library.

"Advances in Network Clustering and Blockmodeling" was published by Wiley & Sons, Limited, John in 2020 - New Jersey - Hoboken, NJ, the book is classified in bibliography genre, it has 432 pages and the language of the book is English.


“Advances in Network Clustering and Blockmodeling” Metadata:

  • Title: ➤  Advances in Network Clustering and Blockmodeling
  • Authors:
  • Language: English
  • Number of Pages: 432
  • Publisher: Wiley & Sons, Limited, John
  • Publish Date:
  • Publish Location: New Jersey - Hoboken, NJ
  • Genres: bibliography - cartographic image
  • Dewey Decimal Classification: 302.301/13
  • Library of Congress Classification: HM741.A35 2020HM741 .A35 2020

“Advances in Network Clustering and Blockmodeling” Subjects and Themes:

Edition Specifications:

  • Number of Pages: ➤  xvi, 409 pages : illustrations, maps, 25 cm.

Edition Identifiers:

AI-generated Review of “Advances in Network Clustering and Blockmodeling”:


"Advances in Network Clustering and Blockmodeling" Table Of Contents:

  • 1- Bibliometric analyses of the network clustering literature / Vladimir Batagelj, Anuška Ferligoj, and Patrick Doreian
  • 2- Clustering approaches to networks / Vladimir Batagelj
  • 3- Different approaches to community detection / Martin Rosvall, JeanCharles Delvenne, Michael T. Schaub, and Renaud Lambiotte
  • 4- Label propagation for clustering / Lovro Šubelj
  • 5- Blockmodeling of valued networks / Carl Nordlund and Aleš Žiberna
  • 6- Treating missing network data before partitioning / Anja Žnidar šič, Patrick Doreian, and Anuška Ferligoj
  • 7- Partitioning signed networks / Vincent Traag, Patrick Doreian, and Andrej Mrvar
  • 8- Partitioning multimode networks / Martin G Everett, and Stephen P Borgatti
  • 9- Partitioning linked networks / Aleš Žiberna
  • 10- Bayesian stochastic blockmodeling / Tiago P. Peixoto
  • 11- Structured networks and coarsegrained descriptions: a dynamical perspective / Michael T. Schaub, Jean
  • 12- harles Delvenne, Renaud Lambiotte, and Mauricio Barahona
  • 13- Scientific coauthorship networks / Marjan Cugmas, Anuška Ferligoj, and Luka Kronegger
  • 14- Conclusions and directions for future work / Patrick Doreian, Anuška Ferligoj, and Vladimir Batagelj.

"Advances in Network Clustering and Blockmodeling" Description:

Harvard Library:

"This book provides an integrated treatment of network clustering and blockmodeling (the most frequently used technique in social network analysis). There are many approaches that have been developed for partitioning networks across multiple disciplines such as: community detection, blockmodeling of valued networks, role assignment, stochastic blockmodeling, etc. This book will include a wide variety of new techniques addressing these problems with a view to solving them. Presented in a comprehensive manner, this book will provide the foundations for understanding network structures and processes. New approaches and methods that have been developed in the last 10 years in the field of both network clustering and blockmodeling will be the main focus of this book"--

Open Data:

"This book provides an integrated treatment of network clustering and blockmodeling (the most frequently used technique in social network analysis). There are many approaches that have been developed for partitioning networks across multiple disciplines such as: community detection, blockmodeling of valued networks, role assignment, stochastic blockmodeling, etc. This book will include a wide variety of new techniques addressing these problems with a view to solving them. Presented in a comprehensive manner, this book will provide the foundations for understanding network structures and processes. New approaches and methods that have been developed in the last 10 years in the field of both network clustering and blockmodeling will be the main focus of this book"

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