Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Leicht, E"'
Autor:
Saramaki, J., Leicht, E. A., Lopez, E., Roberts, S. G. B., Reed-Tsochas, F., Dunbar, R. I. M.
Publikováno v:
Proc.Natl.Acad.Sci. U.S.A. 111 (2014) 942-947
The social network maintained by a focal individual, or ego, is intrinsically dynamic and typically exhibits some turnover in membership over time as personal circumstances change. However, the consequences of such changes on the distribution of an e
Externí odkaz:
http://arxiv.org/abs/1204.5602
Publikováno v:
PNAS March 20, 2012 vol. 109 no. 12 E680-E689
Understanding how interdependence among systems affects cascading behaviors is increasingly important across many fields of science and engineering.Inspired by cascades of load shedding in coupled electric grids and other infrastructure, we study the
Externí odkaz:
http://arxiv.org/abs/1106.4499
Autor:
Leicht, E. A., D'Souza, Raissa M.
Most networks of interest do not live in isolation. Instead they form components of larger systems in which multiple networks with distinct topologies coexist and where elements distributed amongst different networks may interact directly. Here we de
Externí odkaz:
http://arxiv.org/abs/0907.0894
Autor:
Leicht, E. A., Newman, M. E. J.
Publikováno v:
Phys. Rev. Lett. 100, 118703 (2008)
We consider the problem of finding communities or modules in directed networks. The most common approach to this problem in the previous literature has been simply to ignore edge direction and apply methods developed for community discovery in undire
Externí odkaz:
http://arxiv.org/abs/0709.4500
Publikováno v:
Eur. Phys. J. B 59, 75-83 (2007)
In this paper we examine a number of methods for probing and understanding the large-scale structure of networks that evolve over time. We focus in particular on citation networks, networks of references between documents such as papers, patents, or
Externí odkaz:
http://arxiv.org/abs/0706.0015
Autor:
Newman, M. E. J., Leicht, E. A.
Publikováno v:
Proc. Natl. Acad. Sci. USA 104, 9564-9569 (2007)
Networks are widely used in the biological, physical, and social sciences as a concise mathematical representation of the topology of systems of interacting components. Understanding the structure of these networks is one of the outstanding challenge
Externí odkaz:
http://arxiv.org/abs/physics/0611158
Publikováno v:
Phys. Rev. E 73, 026120 (2006)
We consider methods for quantifying the similarity of vertices in networks. We propose a measure of similarity based on the concept that two vertices are similar if their immediate neighbors in the network are themselves similar. This leads to a self
Externí odkaz:
http://arxiv.org/abs/physics/0510143
Autor:
Saramäki, Jari, Leicht, E. A., López, Eduardo, Roberts, Sam G. B., Reed-Tsochas, Felix, Dunbar, Robin I. M.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2014 Jan . 111(3), 942-947.
Externí odkaz:
https://www.jstor.org/stable/23770408
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2012 Mar . 109(12), 4345-4346.
Externí odkaz:
https://www.jstor.org/stable/41585492
Autor:
Guimerà, R., Stouffer, D. B., Sales-Pardo, M., Leicht, E. A., Newman, M. E. J., Amaral, L. A. N.
Publikováno v:
Ecology, 2010 Oct 01. 91(10), 2941-2951.
Externí odkaz:
https://www.jstor.org/stable/20788119