Complex Networks X Proceedings of the 10th Conference on Complex Net
This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 10th International Conference on Complex Networks (Com
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Sean P. Cornelius Clara Granell Martorell Jesús Gómez-Gardeñes Bruno Gonçalves Editors
Complex Networks X Proceedings of the 10th Conference on Complex Networks CompleNet 2019
Springer Proceedings in Complexity Series editors Henry Abarbanel, San Diego, USA Dan Braha, Dartmouth, USA Péter Érdi, Kalamazoo, USA Karl Friston, London, UK Hermann Haken, Stuttgart, Germany Viktor Jirsa, Marseille, France Janusz Kacprzyk, Warsaw, Poland Kunihiko Kaneko, Tokyo, Japan Scott Kelso, Boca Raton, USA Markus Kirkilionis, Coventry, UK Jürgen Kurths, Potsdam, Germany Andrzej Nowak, Warsaw, Poland Hassan Qudrat-Ullah, Toronto, Canada Linda Reichl, Austin, USA Peter Schuster, Vienna, Austria Frank Schweitzer, Zürich, Switzerland Didier Sornette, Zürich, Switzerland Stefan Thurner, Vienna, Austria
Springer Complexity Springer Complexity is an interdisciplinary program publishing the best research and academic-level teaching on both fundamental and applied aspects of complex systems—cutting across all traditional disciplines of the natural and life sciences, engineering, economics, medicine, neuroscience, social, and computer science. Complex Systems are systems that comprise many interacting parts with the ability to generate a new quality of macroscopic collective behavior the manifestations of which are the spontaneous formation of distinctive temporal, spatial, or functional structures. Models of such systems can be successfully mapped onto quite diverse “real-life” situations like the climate, the coherent emission of light from lasers, chemical reaction–diffusion systems, biological cellular networks, the dynamics of stock markets and of the Internet, earthquake statistics and prediction, freeway traffic, the human brain, or the formation of opinions in social systems, to name just some of the popular applications. Although their scope and methodologies overlap somewhat, one can distinguish the following main concepts and tools: self-organization, nonlinear dynamics, synergetics, turbulence, dynamical systems, catastrophes, instabilities, stochastic processes, chaos, graphs and networks, cellular automata, adaptive systems, genetic algorithms, and computational intelligence. The three major book publication platforms of the Springer Complexity program are the monograph series “Understanding Complex Systems” focusing on the various applications of complexity, the “Springer Series in Synergetics”, which is devoted to the quantitative theoretical and methodological foundations, and the “SpringerBriefs in Complexity” which are concise and topical working reports, case-studies, surveys, essays, and lecture notes of relevance to the field. In addition to the books in these two core series, the program also incorporates individual titles ranging from textbooks to major reference works.
More information about this series at http://www.springer.com/series/11637
Sean P. Cornelius • Clara Granell Martorell Jesús Gómez-Garde˜nes • Bruno Gonçalves Editors
Complex Networks X Proceedings of the 10th Conference on Complex Networks Comp
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