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Cláudio D. G. Linhares is the creator and developer of the DyNetVis system. He received the BSc and MSc, and PhD degrees in computer science from the Federal University of Uberlandia, Uberlandia/MG, Brazil. He is currently an Associate Professor at Linnaeus University, in the Department of Computer Science and Media Technology, Faculty of Technology, in Växjö, Sweden. His research interests include information visualization, specially complex network visualization and visual scalability problem.
Personal web page: here
Jean R. Ponciano is the co-creator and developer of the DyNetVis system. He received the BSc, MSc, and PhD degrees in computer science from the Federal University of Uberlandia, Uberlandia/MG, Brazil. He is currently an assistant professor at the Institute of Mathematics and Computer Science (ICMC) - University of São Paulo, Brazil. His research interests include information visualization, particularly complex network visualization and streaming data visualization.
Personal web page: here
José Gustavo S. Paiva received the PhD degree from the University of Sao Paulo, Sao Carlos, Brazil. He is currently an assistant professor at the Federal University of Uberlandia, Uberlandia/MG, Brazil. His research interests include information visualization applied to data collections, network data visualization, and visual data classification, specifically the analysis of how the produced layouts may improve perception and comprehension of the classification process by users.
Bruno A. N. Travençolo received a BSc degree in Computer Science (2003) and a PhD degree in Bioinformatics (2007), all from University of Sao Paulo. He is currently an associate professor at the Faculty of Computing, Federal University of Uberlandia, Uberlandia, Brazil. His research interests include Image Processing, Information Visualization, Scientific Visualization and Complex Networks.
Luis E. C. Rocha is Professor of Econophysics and Social Physics in the Department of Economics at Ghent University, Belgium. His research is about dynamics on and of networks, i.e. the study of dynamic processes such as epidemics, opinions, and random walks on networks that vary in time. His expertise is on computational modeling and data analysis of theoretical and real-world networks, particularly networks of relevance to socio-economic and health systems. He is also interested on human mobility and transportation, particularly on how these variables regulate diffusion processes on networks.
Personal web page: https://users.ugent.be/~lcorread
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