Zobrazeno 1 - 10
of 394
pro vyhledávání: '"Lambiotte R"'
Publikováno v:
Phys. Rev. E 94, 062302 (2016)
We introduce a growing network model---the copying model---in which a new node attaches to a randomly selected target node and, in addition, independently to each of the neighbors of the target with copying probability $p$. When $p<\frac{1}{2}$, this
Externí odkaz:
http://arxiv.org/abs/1610.01662
Publikováno v:
Phys. Rev. Lett. 117, 218301 (2016)
We introduce an evolving network model in which a new node attaches to a randomly selected target node and also to each of its neighbors with probability $p$. The resulting network is sparse for $p<\frac{1}{2}$ and dense (average degree increasing wi
Externí odkaz:
http://arxiv.org/abs/1607.03850
The behavior of complex systems is determined not only by the topological organization of their interconnections but also by the dynamical processes taking place among their constituents. A faithful modeling of the dynamics is essential because diffe
Externí odkaz:
http://arxiv.org/abs/1012.1211
This paper investigates the role of homophily and focus constraint in shaping collaborative scientific research. First, homophily structures collaboration when scientists adhere to a norm of exclusivity in selecting similar partners at a higher rate
Externí odkaz:
http://arxiv.org/abs/1006.1788
Publikováno v:
Meunier D, Lambiotte R, Fornito A, Ersche KD and Bullmore ET (2009) Hierarchical modularity in human brain functional networks. Front. Neuroinform. 3:37.
The idea that complex systems have a hierarchical modular organization originates in the early 1960s and has recently attracted fresh support from quantitative studies of large scale, real-life networks. Here we investigate the hierarchical modular (
Externí odkaz:
http://arxiv.org/abs/1004.3153
Autor:
Evans, T. S., Lambiotte, R.
Publikováno v:
Eur. Phys. J. B 77 (2010) 265-272
In this paper, we develop the idea to partition the edges of a weighted graph in order to uncover overlapping communities of its nodes. Our approach is based on the construction of different types of weighted line graphs, i.e. graphs whose nodes are
Externí odkaz:
http://arxiv.org/abs/0912.4389
Autor:
Lambiotte, R., Panzarasa, P.
Publikováno v:
Journal of Informetrics Volume 3, Issue 3, July 2009, Pages 180-190
In this paper, we examine how patterns of scientific collaboration contribute to knowledge creation. Recent studies have shown that scientists can benefit from their position within collaborative networks by being able to receive more information of
Externí odkaz:
http://arxiv.org/abs/0909.2481
Autor:
Evans, T. S., Lambiotte, R.
Publikováno v:
Phys.Rev.E, 2009, 80, 016105
In this paper, we use a partition of the links of a network in order to uncover its community structure. This approach allows for communities to overlap at nodes, so that nodes may be in more than one community. We do this by making a node partition
Externí odkaz:
http://arxiv.org/abs/0903.2181
Publikováno v:
IEEE Transactions on Network Science and Engineering (Volume:1 , Issue: 2 ) pp 76-90, 2015
Most methods proposed to uncover communities in complex networks rely on their structural properties. Here we introduce the stability of a network partition, a measure of its quality defined in terms of the statistical properties of a dynamical proce
Externí odkaz:
http://arxiv.org/abs/0812.1770
We study the propagation of information in social networks. To do so, we focus on a cascade model where nodes are infected with {probability $p_1$ after their first contact with the information and with probability $p_2$ at all subsequent contacts.}
Externí odkaz:
http://arxiv.org/abs/0806.4880