Meetup "Advances in Network Clustering and Blockmodeling"
Next Monday, on November 25, at 7 pm, academic supervisor and senior research fellow of the ANR-Lab Anuška Ferligoj and Vladimir Batagelj will talk about blockmodeling and will introduce their upcoming book Advances in Network Clustering and Blockmodeling.
The meetup will consist of two parts. First, Anuška Ferligoj and Vladimir Batagelj, Slovenian mathematicians and big names in social network analysis, will tell about the blockmodeling and its various applications. Second part of the meetup will be devoted to the presentation of the new book Advances in Network Clustering and Blockmodeling, that was written by the professors jointly with Patrick Doreian and will be released by Wiley in early 2020. After the presentation there will be a possibility to talk to the professors and other participants.
About the book
The 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:
- Introduction to the book Patrick Doreian, Vladimir Batagelj, and Anuška Ferligoj
- 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, Jean-Charles Delvenne, Michael T. Schaub, and Renaud Lambiotte
- Label Propagation for Clustering Lovro Šubelj
- Partitioning valued network data Aleš Žiberna, and Carl Nordlund
- Treating missing network data before partitioning Anja Žnidaršič, 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
- Blockmodeling 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
Advances in Network Clustering and Blockmodeling is an ideal book for researchers and practitioners interested in clustering and network analysis, as well as graduate and undergraduate students taking courses on network analysis or working with networks using real data. The book:
- 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.
“There is no single best approach to clustering networks. Put differently, there is no cookie-cutter approach fitting all such data sets. Yes, there are adherents of one (their) approach who think this is the case. As shown in the chapters that follow, none of the authors of the contributed chapters share this very narrow view. This is a wide-open realm with multiple exciting approaches.”
The working language is English.
If you need a passcard to the HSE, please fill out the registration form.
Date and time: November 25, 7 pm
We will be happy to see you at our meetup!