Zoltán Néda

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.

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.

TL;DR: In this paper, the authors show that the rate at which nodes acquire links depends on the node's degree, offering direct quantitative support for the presence of preferential attachment, which is a key ingredient of many current models proposed to capture the topological evolution of complex networks.

TL;DR: In this article, a simple and compact analytical formula is proposed for approximating the Voronoi cell's size-distribution function in the practically important 2D and 3D cases as well Denoting the dimensionality of the space by d ( d = 1, 2, 3 ) the f ( y ) = Const * y ( 3 d - 1 ) / 2 exp ( - ( 3d + 1 ) y / 2 ) compact form is suggested for the normalized cell-size distribution function.

TL;DR: The phenomenon is a delightful expression of social self-organization that provides an example on a human scale of the synchronization processes that occur in numerous natural systems, ranging from flashing Asian fireflies to oscillating chemical reactions.