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pro vyhledávání: '"Browet, Arnaud"'
Autor:
Decuyper, Adeline, Browet, Arnaud, Traag, Vincent, Blondel, Vincent D., Delvenne, Jean-Charles
Mobile phone data have been extensively used in the recent years to study social behavior. However, most of these studies are based on only partial data whose coverage is limited both in space and time. In this paper, we point to an observation that
Externí odkaz:
http://arxiv.org/abs/1609.09413
We prove the incompatibility of certain desirable properties of community partition quality functions. Our results generalize the impossibility result of [Kleinberg 2003] by considering sets of weaker properties. In particular, we use an alternative
Externí odkaz:
http://arxiv.org/abs/1603.00621
Autor:
Browet, Arnaud, De Vleeschouwer, Christophe, Jacques, Laurent, Mathiah, Navrita, Saykali, Bechara, Migeotte, Isabelle
The progress in imaging techniques have allowed the study of various aspect of cellular mechanisms. To isolate individual cells in live imaging data, we introduce an elegant image segmentation framework that effectively extracts cell boundaries, even
Externí odkaz:
http://arxiv.org/abs/1602.05439
Autor:
Browet, Arnaud, Van Dooren, Paul
Computing meaningful clusters of nodes is crucial to analyze large networks. In this paper, we present a pairwise node similarity measure that allows to extract roles, i.e. group of nodes sharing similar flow patterns within a network. We propose a l
Externí odkaz:
http://arxiv.org/abs/1312.4860
Communities play a crucial role to describe and analyse modern networks. However, the size of those networks has grown tremendously with the increase of computational power and data storage. While various methods have been developed to extract commun
Externí odkaz:
http://arxiv.org/abs/1308.6276
Autor:
Csáji, Balázs Cs., Browet, Arnaud, Traag, V. A., Delvenne, Jean-Charles, Huens, Etienne, Van Dooren, Paul, Smoreda, Zbigniew, Blondel, Vincent D.
Publikováno v:
Physica A 392(6), pp. 1459-1473 (2013)
Mobile phone datasets allow for the analysis of human behavior on an unprecedented scale. The social network, temporal dynamics and mobile behavior of mobile phone users have often been analyzed independently from each other using mobile phone datase
Externí odkaz:
http://arxiv.org/abs/1211.6014
Akademický článek
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Autor:
Browet, Arnaud
Many real networks encompass a community structure which means that nodes are organized in densely connected groups with, at the same time, relatively few links between the groups. We propose a new algorithm to uncover those community structures in v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::33688aec48b8d7dadb9627a438d054e7
https://hdl.handle.net/2078.1/151926
https://hdl.handle.net/2078.1/151926
Akademický článek
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