'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...

This volume constitutes the refereed proceedings of the 18thInternational Symposium on Graph Drawing, GD 2010, held in Konstanz, Germany, during September 2010.The 30 revised full papers presented together with 5 revised short and 8poster papers were carefully reviewed and selected from 77 submissions.The volume also contains a detailed report about the 17th Annual GraphDrawing Contest, held as a satellite event of GD 2010. Devoted both totheoretical advances as well as to implemented solutions, the papers areconcerned with the geometric representation of graphs and networks andare motivated...

"Studying Social Networks" provides a concise, comprehensive introduction to the process of empirical network research. Students and practitioners new to social research will find easily understandable learning goals, numerous examples, and helpful exercises all in one compact volume. The authors have integrated different disciplinary perspectives, while stressing the importance of substance-specific orientation while 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.
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This book constitutes the refereed proceedings of the 12th International Conference and School of Network Science, NetSci-X 2016, held in Wroclaw, Poland, in January 2016.

The 12 full and 6 short papers were carefully reviewed and selected from 59 submissions. The papers deal with the study of network models in domains ranging from biology and physics to computer science, from financial markets to cultural integration, and from social media to infectious diseases.