Ulrik Brandes - Böcker

This bookconstitutes the refereed proceedings of the 12th International Conference andSchool of Network Science, NetSci-X 2016, held in Wroclaw, Poland, in January2016. The 12 fulland 6 short papers were carefully reviewed and selected from 59 submissions.

Network is a heavily overloaded term, so that network analysis means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas.

This book constitutes the thoroughly refereed post-workshop proceedings of the 26th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2000, held in Konstanz, Germany, in June 2000. The 26 revised full papers presented together with two invited contributions were carefully reviewed and selected from 51 submissions. The papers provide a wealth of new results for various classes of graphs, graph computations, graph algorithms and graph-theoretical applications in various fields.

"Studying Social Networks" provides a concise, introduction to empirical network research. Students and practitioners new to social research will find easily understandable learning goals, examples, and exercises all in one volume. The authors have integrated different disciplinary perspectives, while stressing the importance of substance-specific orientation when studying networks. Scholars will find "Studying Social Networks" a helpful tool not only for teaching, but also as a guide for their own empirical research.