-
1
-
-
80053078116
-
A classification for community discovery methods in complex networks
-
10.1002/sam.10133 MR2842407 ZBL0011.01301
-
Coscia M., Giannotti F., Pedreschi D., A classification for community discovery methods in complex networks. Statistical Analysis and Data Mining 2011 4 5 512 546 10.1002/sam.10133 MR2842407 ZBL0011.01301
-
(2011)
Statistical Analysis and Data Mining
, vol.4
, Issue.5
, pp. 512-546
-
-
Coscia, M.1
Giannotti, F.2
Pedreschi, D.3
-
2
-
-
37649028224
-
Finding and evaluating community structure in networks
-
2-s2.0-37649028224 10.1103/PhysRevE.69.026113 026113
-
Newman M. E. J., Girvan M., Finding and evaluating community structure in networks. Physical Review E 2004 69 2 2-s2.0-37649028224 10.1103/PhysRevE.69. 026113 026113
-
(2004)
Physical Review e
, vol.69
, Issue.2
-
-
Newman, M.E.J.1
Girvan, M.2
-
3
-
-
84861945707
-
Modularity optimization by conformational space annealing
-
056702 10.1103/PhysRevE.85.056702
-
Lee J., Gross S. P., Lee J., Modularity optimization by conformational space annealing. Physical Review E 2012 85 5 5 056702 10.1103/PhysRevE.85.056702
-
(2012)
Physical Review e
, vol.85
, Issue.5
, pp. 5
-
-
Lee, J.1
Gross, S.P.2
Lee, J.3
-
4
-
-
73449141390
-
Advanced modularity-specialized label propagation algorithm for detecting communities in networks
-
2-s2.0-73449141390 10.1016/j.physa.2009.12.019
-
Liu X., Murata T., Advanced modularity-specialized label propagation algorithm for detecting communities in networks. Physica A 2010 389 7 1493 1500 2-s2.0-73449141390 10.1016/j.physa.2009.12.019
-
(2010)
Physica A
, vol.389
, Issue.7
, pp. 1493-1500
-
-
Liu, X.1
Murata, T.2
-
5
-
-
84872154012
-
Community detection based on modularity and an improved genetic algorithm
-
10.1016/j.physa.2012.11.003
-
Shang R., Bai J., Jiao L., Jin C., Community detection based on modularity and an improved genetic algorithm. Physica A 2013 392 5 1215 1231 10.1016/j.physa.2012.11.003
-
(2013)
Physica A
, vol.392
, Issue.5
, pp. 1215-1231
-
-
Shang, R.1
Bai, J.2
Jiao, L.3
Jin, C.4
-
6
-
-
34548583274
-
A tutorial on spectral clustering
-
10.1007/s11222-007-9033-z MR2409803
-
von Luxburg U., A tutorial on spectral clustering. Statistics and Computing 2007 17 4 395 416 10.1007/s11222-007-9033-z MR2409803
-
(2007)
Statistics and Computing
, vol.17
, Issue.4
, pp. 395-416
-
-
Von Luxburg, U.1
-
11
-
-
84865576751
-
Clustering large attributed information networks: An efficient incremental computing approach
-
2-s2.0-84857672335 10.1007/s10618-012-0263-0 ZBL1259.05150
-
Cheng H., Zhou Y., Huang X., Yu J. X., Clustering large attributed information networks: an efficient incremental computing approach. Data Mining and Knowledge Discovery 2012 25 3 450 477 2-s2.0-84857672335 10.1007/s10618-012-0263-0 ZBL1259.05150
-
(2012)
Data Mining and Knowledge Discovery
, vol.25
, Issue.3
, pp. 450-477
-
-
Cheng, H.1
Zhou, Y.2
Huang, X.3
Yu, J.X.4
-
17
-
-
56549104168
-
Semisupervised clustering based on affinity propagation algorithm
-
2-s2.0-56549104168 ZBL1199.68319
-
Xiao Y., Yu J., Semisupervised clustering based on affinity propagation algorithm. Journal of Software 2008 19 11 2803 2813 2-s2.0-56549104168 ZBL1199.68319
-
(2008)
Journal of Software
, vol.19
, Issue.11
, pp. 2803-2813
-
-
Xiao, Y.1
Yu, J.2
-
18
-
-
38049081595
-
C-DBSCAN: Density-Based clustering with constraints
-
Springer
-
Ruiz C., Spiliopoulou M., Menasalvas E., C-DBSCAN: density-Based clustering with constraints. Proceedings of the 11th Rough Sets, Fuzzy Sets, Data Mining and Granular Computing 2007 Springer 216 223
-
(2007)
Proceedings of the 11th Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
, pp. 216-223
-
-
Ruiz, C.1
Spiliopoulou, M.2
Menasalvas, E.3
-
24
-
-
80955130705
-
Spectral clustering: A semisupervised approach
-
2-s2.0-80955130705 10.1016/j.neucom.2011.09.002
-
Chen W. F., Feng G. C., Spectral clustering: a semisupervised approach. Neurocomputing 2012 77 1 229 242 2-s2.0-80955130705 10.1016/j.neucom.2011.09.002
-
(2012)
Neurocomputing
, vol.77
, Issue.1
, pp. 229-242
-
-
Chen, W.F.1
Feng, G.C.2
-
26
-
-
70349438985
-
Semisupervised clustering algorithm for community structure detection in complex networks
-
2-s2.0-70349438985 10.1016/j.physa.2009.09.018
-
Ma X. K., Gao L., Yong X. R., Fu L., Semisupervised clustering algorithm for community structure detection in complex networks. Physica A 2010 389 1 187 197 2-s2.0-70349438985 10.1016/j.physa.2009.09.018
-
(2010)
Physica A
, vol.389
, Issue.1
, pp. 187-197
-
-
Ma, X.K.1
Gao, L.2
Yong, X.R.3
Fu, L.4
-
28
-
-
33847172327
-
Clustering by passing messages between data points
-
Frey B. F., Dueck D., Clustering by passing messages between data points. Science 2007 305 5814 972 976
-
(2007)
Science
, vol.305
, Issue.5814
, pp. 972-976
-
-
Frey, B.F.1
Dueck, D.2
-
29
-
-
84855323676
-
Limits of modularity maximization in community detection
-
2-s2.0-84855323676 10.1103/PhysRevE.84.066122 066122
-
Lancichinetti A., Fortunato S., Limits of modularity maximization in community detection. Physical Review E 2011 84 6 2-s2.0-84855323676 10.1103/PhysRevE.84.066122 066122
-
(2011)
Physical Review e
, vol.84
, Issue.6
-
-
Lancichinetti, A.1
Fortunato, S.2
-
31
-
-
67349186342
-
A spectral clustering-based framework for detecting community structures in complex networks
-
10.1016/j.aml.2009.02.005 MR2536836 ZBL1173.90595
-
Jiang J. Q., Dress A. W. M., Yang G., A spectral clustering-based framework for detecting community structures in complex networks. Applied Mathematics Letters 2009 22 9 1479 1482 10.1016/j.aml.2009.02.005 MR2536836 ZBL1173.90595
-
(2009)
Applied Mathematics Letters
, vol.22
, Issue.9
, pp. 1479-1482
-
-
Jiang, J.Q.1
Dress, A.W.M.2
Yang, G.3
-
33
-
-
40949161791
-
Quantitative function for community detection
-
036109 10.1103/PhysRevE.77.036109
-
Li Z. P., Zhang S. H., Wang R. S., Zhang X.-S., Chen L., Quantitative function for community detection. Physical Review E 2008 77 3 9 036109 10.1103/PhysRevE.77.036109
-
(2008)
Physical Review e
, vol.77
, Issue.3
, pp. 9
-
-
Li, Z.P.1
Zhang, S.H.2
Wang, R.S.3
Zhang, X.-S.4
Chen, L.5
-
34
-
-
67651015658
-
A binary variable model for affinity propagation
-
10.1162/neco.2009.05-08-785 MR2527796 ZBL1183.68476
-
Givoni I. E., Frey B. J., A binary variable model for affinity propagation. Neural Computation 2009 21 6 1589 1600 10.1162/neco.2009.05-08-785 MR2527796 ZBL1183.68476
-
(2009)
Neural Computation
, vol.21
, Issue.6
, pp. 1589-1600
-
-
Givoni, I.E.1
Frey, B.J.2
-
36
-
-
84883159018
-
-
http://www-personal.umich.edu/mejn/netdata/
-
-
-
-
37
-
-
53749083869
-
Collective classification in network data
-
2-s2.0-53749083869
-
Sen P., Namata G. M., Bilgic M., Getoor L., Gallagher B., Eliassi-Rad T., Collective classification in network data. AI Magazine 2008 29 3 93 106 2-s2.0-53749083869
-
(2008)
AI Magazine
, vol.29
, Issue.3
, pp. 93-106
-
-
Sen, P.1
Namata, G.M.2
Bilgic, M.3
Getoor, L.4
Gallagher, B.5
Eliassi-Rad, T.6
-
38
-
-
84883153044
-
-
http://www.cs.umd.edu/sen/lbc-proj/LBC.html
-
-
-
|