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Presented in a comprehensive manner, this book provides a comprehensive foundation in algebraic approaches for the analysis of different types of social networks such as multiple, signed, and affiliation networks. The study of such configurations corresponds to the structural analysis within the social sciences, and the methods applied for the analysis are in the areas of abstract algebra, combinatorics, and graph theory. Current research in social networks has moved toward the examination of more realistic but also more complex social relations by which agents or actors are connected in…mehr
Presented in a comprehensive manner, this book provides a comprehensive foundation in algebraic approaches for the analysis of different types of social networks such as multiple, signed, and affiliation networks. The study of such configurations corresponds to the structural analysis within the social sciences, and the methods applied for the analysis are in the areas of abstract algebra, combinatorics, and graph theory. Current research in social networks has moved toward the examination of more realistic but also more complex social relations by which agents or actors are connected in multiple ways. Addressing this trend, this book offers hands-on training of the algebraic procedures presented along with the computer package multiplex, written by the book's author specifically to perform analyses of multiple social networks. An introductory section on both complex networks and for R will feature, however the subjects themselves correspond to advanced courses on social network analysis with the specialization on algebraic models and methods.
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J. ANTONIO RIVERO OSTOIC, PHD, is a post doctorate fellow at the School of Culture and Society, Aarhus University, Denmark, and a research associate at the University of San Simón (CESU). With a background in sociology and social sciences his research is mainly focused on social networks. He developed the R packages multiplex and multigraph for performing algebraic analysis and visualization of complex systems.
Inhaltsangabe
List of Contributors xv
1 Introduction 1
Patrick Doreian, Vladimir Batagelj, and Anuska Ferligoj
2 Bibliometric Analyses of the Network Clustering Literature 11
Vladimir Batagelj, Anuska Ferligoj, and Patrick Doreian
3 Clustering Approaches to Networks 65
Vladimir Batagelj
4 Different Approaches to Community Detection 105
Martin Rosvall, Jean-Charles Delvenne, Michael T. Schaub,
and Renaud Lambiotte
5 Label Propagation for Clustering 121
Lovro Subelj
6 Blockmodeling of Valued Networks 151
Carl Nordlund and Ales ?iberna
7 Treating Missing Network Data Before Partitioning 189
Anja ?nidarsic, Patrick Doreian, and Anuska Ferligoj Ç
8 Partitioning Signed Networks 225
Vincent Traag, Patrick Doreian, and Andrej Mrvar
9 Partitioning Multimode Networks 251
Martin G Everett and Stephen P Borgatti
10 Blockmodeling Linked Networks 267
Ales ?iberna
11 Bayesian Stochastic Blockmodeling 289
Tiago P. Peixoto
12 Structured Networks and Coarse-Grained Descriptions: A Dynamical
Perspective 333
Michael T. Schaub, Jean-Charles Delvenne, Renaud Lambiotte,
and Mauricio Barahona
13 Scientific Co-Authorship Networks 363
Marjan Cugmas, Anuska Ferligoj, and Luka Kronegger
14 Conclusions and Directions for Future Work 389
Patrick Doreian, Anuska Ferligoj, and Vladimir Batagelj
