Suchergebnisse

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.

"This book provides an integrated treatment of blockmodeling, the most frequently used technique in social network analysis. It secures its mathematical foundations and then generalizes blockmodeling for analyzing many types of network structures. Examples are used throughout the text and include small group structures, little league baseball teams, intra-organizational networks, inter-organizational networks, baboon grooming networks, marriage ties of noble families, trust networks, signed networks, Supreme Court decisions, journal citation networks, and alliance networks."--Jacket

This book provides an integrated treatment of blockmodeling, the most frequently used technique in social network analysis. It secures its mathematical foundations and then generalizes blockmodeling for the analysis of many types of network structures. Examples are used throughout the text and include small group structures, little league baseball teams, intra-organizational networks, inter-organizational networks, baboon grooming networks, marriage ties of noble families, trust networks, signed networks, Supreme Court decisions, journal citation networks, and alliance networks. Also provided is an integrated treatment of algebraic and graph theoretic concepts for network analysis and a broad introduction to cluster analysis. These formal ideas are the foundations for the authors' proposal for direct optimizational approaches to blockmodeling which yield blockmodels that best fit the data, a measure of fit that is integral to the establishment of blockmodels, and creates the potential for many generalizations and a deductive use of blockmodeling

Machine generated contents note: pt. I FUNDAMENTALS -- 1.Looking for Social Structure -- 1.1.Introduction -- 1.2.Sociometry and Sociogram -- 1.3.Exploratory Social Network Analysis -- 1.3.1.Network Definition -- 1.3.2.Manipulation -- 1.3.3.Calculation -- 1.3.4.Visualization -- 1.4.Assembling a Social Network -- 1.5.Summary -- 1.6.Questions -- 1.7.Assignment -- 1.8.Further Reading -- 1.9.Answers -- 2.Attributes and Relations -- 2.1.Introduction -- 2.2.Example: The World System -- 2.3.Partitions -- 2.4.Reduction of a Network -- 2.4.1.Local View -- 2.4.2.Global View -- 2.4.3.Contextual View -- 2.5.Vectors and Coordinates -- 2.6.Network Analysis and Statistics -- 2.7.Summary -- 2.8.Questions -- 2.9.Assignment -- 2.10.Further Reading -- 2.11.Answers -- pt. II COHESION -- 3.Cohesive Subgroups -- 3.1.Introduction -- 3.2.Example -- 3.3.Density and Degree -- 3.4.Components -- 3.5.Cores -- 3.6.Cliques and Complete Subnetworks -- 3.7.Summary -- 3.8.Questions -- 3.9.Assignment

An extensively revised and expanded third edition of the successful textbook on analysis and visualization of social networks integrating theory, applications, and professional software for performing network analysis (Pajek). The main structural concepts and their applications in social research are introduced with exercises. Pajek software and datasets are available, so readers can learn network analysis through application and case studies. In the end readers will have the knowledge, skills, and tools to apply social network analysis across different disciplines. A fundamental redesign of the menu structure and the capability to analyze much larger networks required a new edition. This edition presents several new operations including community detection, generalized main paths searches, new network indices, advanced visualization approaches, and instructions for installing Pajek under MacOSX. This third edition is up-to-date with Pajek version 5 and it introduces PajekXXL for very large networks and Pajek3XL for huge networks

"This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis (Pajek). Step by step, the book introduces the main structural concepts and their applications in social research with exercises to test the understanding. In each chapter, each theoretical section is followed by an application section explaining how to perform the network analyses with Pajek software. Pajek software and data sets for all examples are freely available, so the reader can learn network analysis by doing it. In addition, each chapter offers case studies for practicing network analysis. In the end, the reader has the knowledge, skills, and tools to apply social network analysis in all social sciences, ranging from anthropology and sociology to business administration and history"--Provided by publisher

An extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software and data sets are available so readers can learn network analysis through application and case studies. Readers will have the knowledge, skill and tools to apply social network analysis across the social sciences, from anthropology and sociology to business administration and history. This second edition has a new chapter on random network models, for example, scale-free and small-world networks and Monte Carlo simulation; discussion of multiple relations, islands and matrix multiplication; new structural indices such as eigenvector centrality, degree distribution and clustering coefficients; new visualization options that include circular layout for partitions and drawing a network geographically as a 3D surface; and using Unicode labels

This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis. The book introduces the main concepts and their applications in social research with exercises. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section

Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Illustrations; Tables; Preface; Part I Fundamentals; Part II Cohesion; Part III Brokerage; Part IV Ranking; Part V Roles; Appendix 1 Getting Started with Pajek; Appendix 2 Exporting Visualizations; Appendix 3; Glossary; Index of Pajek Commands; Subject Index.