T
Tamás Vicsek
Researcher at Eötvös Loránd University
Publications - 330
Citations - 49412
Tamás Vicsek is an academic researcher from Eötvös Loránd University. The author has contributed to research in topics: Flocking (behavior) & Fractal dimension. The author has an hindex of 76, co-authored 327 publications receiving 45045 citations. Previous affiliations of Tamás Vicsek include Tel Aviv University & Emory University.
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Novel Type of Phase Transition in a System of Self-Driven Particles
TL;DR: Numerical evidence is presented that this model results in a kinetic phase transition from no transport to finite net transport through spontaneous symmetry breaking of the rotational symmetry.
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Uncovering the overlapping community structure of complex networks in nature and society
TL;DR: After defining a set of new characteristic quantities for the statistics of communities, this work applies an efficient technique for exploring overlapping communities on a large scale and finds that overlaps are significant, and the distributions introduced reveal universal features of networks.
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Simulating dynamical features of escape panic
TL;DR: A model of pedestrian behaviour is used to investigate the mechanisms of panic and jamming by uncoordinated motion in crowds, and an optimal strategy for escape from a smoke-filled room is found, involving a mixture of individualistic behaviour and collective ‘herding’ instinct.
Evolution of the social network of scientific collaborations
Albert-László Barabási,Hawoong Jeong,Zoltán Néda,Zoltán Néda,Erzsébet Ravasz,András Schubert,Tamás Vicsek +6 more
TL;DR: The results indicate that the co-authorship network of scientists is scale-free, and that the network evolution is governed by preferential attachment, affecting both internal and external links, and a simple model is proposed that captures the network's time evolution.
Journal ArticleDOI
Evolution of the social network of scientific collaborations
Albert-László Barabási,Hawoong Jeong,Zoltán Néda,Zoltán Néda,Erzsébet Ravasz,András Schubert,Tamás Vicsek +6 more
TL;DR: In this paper, the authors analyzed the evolution of the co-authorship network of scientists and found that the network is scale-free and the network evolution is governed by preferential attachment, a8ecting both internal and external links.