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.
Cover -- Title Page -- Copyright -- Brief Contents -- Contents -- List of Contributors -- Chapter 1 Introduction -- 1.1 On the Chapters -- 1.2 Looking Forward -- Chapter 2 Bibliometric Analyses of the Network Clustering Literature -- 2.1 Introduction -- 2.2 Data Collection and Cleaning -- 2.2.1 Most Cited/Citing Works -- 2.2.2 The Boundary Problem for Citation Networks -- 2.3 Analyses of the Citation Networks -- 2.3.1 Components -- 2.3.2 The CPM Path of the Main Citation Network -- 2.3.3 Key‐Route Paths -- 2.3.4 Positioning Sets of Selected Works in a Citation Network -- 2.4 Link Islands in the Clustering Network Literature -- 2.4.1 Island 10: Community Detection and Blockmodeling -- 2.4.2 Island 7: Engineering Geology -- 2.4.3 Island 9: Geophysics -- 2.4.4 Island 2: Electromagnetic Fields and their Impact on Humans -- 2.4.5 Limitations and Extensions -- 2.5 Authors -- 2.5.1 Productivity Inside Research Groups -- 2.5.2 Collaboration -- 2.5.3 Citations Among Authors Contributing to the Network Partitioning Literature -- 2.5.4 Citations Among Journals -- 2.5.5 Bibliographic Coupling -- 2.5.6 Linking Through a Jaccard Network -- 2.6 Summary and Future Work -- Acknowledgements -- References -- Chapter 3 Clustering Approaches to Networks -- 3.1 Introduction -- 3.2 Clustering -- 3.2.1 The Clustering Problem -- 3.2.2 Criterion Functions -- 3.2.3 Cluster‐Error Function/Examples -- 3.2.4 The Complexity of the Clustering Problem -- 3.3 Approaches to Clustering -- 3.3.1 Local Optimization -- 3.3.2 Dynamic Programming -- 3.3.3 Hierarchical Methods -- 3.3.4 Adding Hierarchical Methods -- 3.3.5 The Leaders Method -- 3.4 Clustering Graphs and Networks -- 3.5 Clustering in Graphs and Networks -- 3.5.1 An Indirect Approach -- 3.5.2 A Direct Approach: Blockmodeling -- 3.5.3 Graph Theoretic Approaches -- 3.6 Agglomerative Method for Relational Constraints.
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"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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