Zobrazeno 1 - 10
of 859
pro vyhledávání: '"Illes J"'
Autor:
Farkas, Illes J., Wang, Shuo-Hong
Fish, birds, insects and robots frequently swim or fly in groups. During their 3 dimensional collective motion, these agents do not stop, they avoid collisions by strong short-range repulsion, and achieve group cohesion by weak long-range attraction.
Externí odkaz:
http://arxiv.org/abs/1705.08713
Publikováno v:
Scientometrics 108, 829 (2016)
Our current societies increasingly rely on electronic repositories of collective knowledge. An archetype of these databases is the Web of Science (WoS) that stores scientific publications. In contrast to several other forms of knowledge -- e.g., Wiki
Externí odkaz:
http://arxiv.org/abs/1605.00509
The cohesive collective motion (flocking, swarming) of autonomous agents is ubiquitously observed and exploited in both natural and man-made settings, thus, minimal models for its description are essential. In a model with continuous space and time w
Externí odkaz:
http://arxiv.org/abs/1406.7679
Publikováno v:
National Science Review (September 2014) 1 (3): 343-345
Measuring science is based on comparing articles to similar others. However, keyword-based groups of thematically similar articles are dominantly small. These small sizes keep the statistical errors of comparisons high. With the growing availability
Externí odkaz:
http://arxiv.org/abs/1403.2140
Autor:
Korcsmaros, Tamas, Farkas, Illes J., Szalay, Maté S., Rovo, Petra, Fazekas, David, Spiro, Zoltan, Bode, Csaba, Lenti, Katalin, Vellai, Tibor, Csermely, Peter
Publikováno v:
Bioinformatics 26, 2042-2050 (2010)
Motivation: Signaling pathways control a large variety of cellular processes. However, currently, even within the same database signaling pathways are often curated at different levels of detail. This makes comparative and cross-talk analyses difficu
Externí odkaz:
http://arxiv.org/abs/1008.4025
Publikováno v:
2008 New J. Phys. 10 123026
We investigate the fundamental statistical features of tagged (or annotated) networks having a rich variety of attributes associated with their nodes. Tags (attributes, annotations, properties, features, etc.) provide essential information about the
Externí odkaz:
http://arxiv.org/abs/0812.4236
Autor:
Pollner, Peter, Palla, Gergely, Abel, Daniel, Vicsek, Andras, Farkas, Illes J., Derenyi, Imre, Vicsek, Tamas
Publikováno v:
Physica A: Statistical Mechanics and its Applications 387, (Issues 19-20), page: 4959-4966 (2008)
Several recent studies of complex networks have suggested algorithms for locating network communities, also called modules or clusters, which are mostly defined as groups of nodes with dense internal connections. Along with the rapid development of t
Externí odkaz:
http://arxiv.org/abs/0809.0669
Publikováno v:
New J. Phys. 9, 186 (2007)
A search technique locating network modules, i.e., internally densely connected groups of nodes in directed networks is introduced by extending the Clique Percolation Method originally proposed for undirected networks. After giving a suitable definit
Externí odkaz:
http://arxiv.org/abs/physics/0703248
Publikováno v:
New J. Phys. 9, 180 (2007)
The inclusion of link weights into the analysis of network properties allows a deeper insight into the (often overlapping) modular structure of real-world webs. We introduce a clustering algorithm (CPMw, Clique Percolation Method with weights) for we
Externí odkaz:
http://arxiv.org/abs/cond-mat/0703706
Publikováno v:
BMC Bioinformatics 2006, 7:478
BACKGROUND. Signal recognition and information processing is a fundamental cellular function, which in part involves comprehensive transcriptional regulatory (TR) mechanisms carried out in response to complex environmental signals in the context of t
Externí odkaz:
http://arxiv.org/abs/q-bio/0610055