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Andrea Lancichinetti
Andrea Lancichinetti
Umeå University
E-mailová adresa ověřena na: physics.umu.se - Domovská stránka
Název
Citace
Citace
Rok
Benchmark graphs for testing community detection algorithms
A Lancichinetti, S Fortunato, F Radicchi
Physical Review E 78 (4), 046110, 2008
35162008
Community detection algorithms: a comparative analysis
A Lancichinetti, S Fortunato
Physical Review E 80 (5), 056117, 2009
27852009
Detecting the overlapping and hierarchical community structure in complex networks
A Lancichinetti, S Fortunato, J Kertész
New journal of physics 11 (3), 033015, 2009
24812009
Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities
A Lancichinetti, S Fortunato
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 80 (1 …, 2009
12912009
Finding statistically significant communities in networks
A Lancichinetti, F Radicchi, JJ Ramasco, S Fortunato
PloS one 6 (4), e18961, 2011
12432011
Consensus clustering in complex networks
A Lancichinetti, S Fortunato
Scientific reports 2 (1), 336, 2012
9232012
Limits of modularity maximization in community detection
A Lancichinetti, S Fortunato
Physical Review E 84 (6), 066122, 2011
5702011
Memory in network flows and its effects on spreading dynamics and community detection
M Rosvall, AV Esquivel, A Lancichinetti, JD West, R Lambiotte
Nature communications 5 (1), 4630, 2014
4552014
Identifying modular flows on multilayer networks reveals highly overlapping organization in interconnected systems
M De Domenico, A Lancichinetti, A Arenas, M Rosvall
Physical Review X 5 (1), 011027, 2015
4542015
Characterizing the community structure of complex networks
A Lancichinetti, M Kivelä, J Saramäki, S Fortunato
PloS one 5 (8), e11976, 2010
3392010
Community detection and visualization of networks with the map equation framework
L Bohlin, D Edler, A Lancichinetti, M Rosvall
Measuring scholarly impact: methods and practice, 3-34, 2014
1992014
Statistical significance of communities in networks
A Lancichinetti, F Radicchi, JJ Ramasco
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 81 (4 …, 2010
1522010
High-reproducibility and high-accuracy method for automated topic classification
A Lancichinetti, MI Sirer, JX Wang, D Acuna, K Körding, LAN Amaral
Physical Review X 5 (1), 011007, 2015
1452015
Efficient community detection of network flows for varying Markov times and bipartite networks
M Kheirkhahzadeh, A Lancichinetti, M Rosvall
Physical Review E 93 (3), 032309, 2016
652016
Mapping bilateral information interests using the activity of Wikipedia editors
F Karimi, L Bohlin, A Samoilenko, M Rosvall, A Lancichinetti
Palgrave Communications 1 (1), 1-7, 2015
252015
Combinatorial approach to modularity
F Radicchi, A Lancichinetti, JJ Ramasco
Physical Review E 82 (2), 026102, 2010
192010
NullSeq: a tool for generating random coding sequences with desired amino acid and GC contents
SS Liu, AJ Hockenberry, A Lancichinetti, MC Jewett, LAN Amaral
PLoS computational biology 12 (11), e1005184, 2016
152016
Robustness of journal rankings by network flows with different amounts of memory
L Bohlin, A Viamontes Esquivel, A Lancichinetti, M Rosvall
Journal of the Association for Information Science and Technology 67 (10 …, 2016
132016
Networks with memory
M Rosvall, AV Esquivel, A Lancichinetti, JD West, R Lambiotte
Ecology 19, 30, 2013
92013
Identifying modular flows on multilayer networks reveals highly overlapping organization in social systems
M De Domenico, A Lancichinetti, A Arenas, M Rosvall
arXiv preprint arXiv:1408.2925, 2014
42014
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Články 1–20