Signed networks play an important role in many disciplines related to complex systems. Signed networks are used in modelling evolution of the social networks of varying scale. In the scale of human relationships, they allow understanding the phenomena of polarisation and fragmentation of societies. They explain the formation of ''echo chambers'' in online political discourse. Moreover, they model processes of opinion formation and epidemic spreading. In the scale of organisations, signed networks are applied in political science to analyse changes in international relations, predict government formation, study the dynamics of stock markets and improve decision-making processes. Signed models explain observed patterns in real-world networks confirming or disproving proposed theories from social sciences.
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Linkoping University, Department of Electrical Engineering
University of Toronto, Department of Mechanical & Industrial Engineering
University of California, Davis, Department of Anthropology
Warsaw University of Technology, Faculty of Physics
AGH University of Science and Technology, Faculty of Physics and Applied Computer Science
Chair of Systems Design,
ETH Zürich
New York University, Courant Institute
Xi’an Jiaotong-Liverpool University, Media & Communication Department
School of Mathematical Sciences, Queen Mary London
Department of Informatics at the Faculty of Sciences, University of Lisbon
Niels Bohr Institute, University of Copenhagen tuan.pham@nbi.ku.dk
Warsaw University of Technology, Faculty of Physics
piotr.gorski@pw.edu.pl