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Andrea Lancichinetti
Andrea Lancichinetti
Umeå University
Bestätigte E-Mail-Adresse bei physics.umu.se - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Benchmark graphs for testing community detection algorithms
A Lancichinetti, S Fortunato, F Radicchi
Physical Review E 78 (4), 046110, 2008
32642008
Community detection algorithms: a comparative analysis
A Lancichinetti, S Fortunato
Physical Review E 80 (5), 056117, 2009
25822009
Detecting the overlapping and hierarchical community structure in complex networks
A Lancichinetti, S Fortunato, J Kertész
New journal of physics 11 (3), 033015, 2009
23712009
Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities
A Lancichinetti, S Fortunato
Physical Review E 80 (1), 016118, 2009
12192009
Finding statistically significant communities in networks
A Lancichinetti, F Radicchi, JJ Ramasco, S Fortunato
PloS one 6 (4), e18961, 2011
11882011
Consensus clustering in complex networks
A Lancichinetti, S Fortunato
Scientific reports 2 (1), 336, 2012
8132012
Limits of modularity maximization in community detection
A Lancichinetti, S Fortunato
Physical Review E 84 (6), 066122, 2011
5382011
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
4202014
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
4162015
Characterizing the community structure of complex networks
A Lancichinetti, M Kivelä, J Saramäki, S Fortunato
PloS one 5 (8), e11976, 2010
3212010
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
1852014
Statistical significance of communities in networks
A Lancichinetti, F Radicchi, JJ Ramasco
Physical Review E 81 (4), 046110, 2010
1432010
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
1312015
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
582016
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
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
142016
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
122016
New benchmark in community detection
A Lancichinetti, S Fortunato, F Radicchi
92008
Evaluating the performance of clustering algorithms in networks
A Lancichinetti
Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying …, 2013
42013
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