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Community detection in multiplex networks: A seed-centric approach
1. | DICEN-CNAM 292, rue St Martin, 75141 PARIS CEDEX 03, & & LIPN - CNRS UMR 7030, Paris, France |
2. | PSC, UP13, LIPN, CNRS UMR 7030, Villetaneuse, France |
References:
[1] |
S. Alexander and G. Joydeep, Cluster ensembles a knowledge reuse framework for combining multiple partitions,, The Journal of Machine Learning Research, 3 (2003), 583.
doi: 10.1162/153244303321897735. |
[2] |
A. Amelio and C. Pizzuti, A cooperative evolutionary approach to learn communities in multilayer networks,, in Parallel Problem Solving from Nature-PPSN XIII, (8672), 222.
doi: 10.1007/978-3-319-10762-2_22. |
[3] |
F. Battiston, V. Nicosia and V. Latora, Structural measures for multiplex networks,, Physical Review E, 89 (2014).
doi: 10.1103/PhysRevE.89.032804. |
[4] |
M. Berlingerio, M. Coscia and F. Giannotti, Finding and characterizing communities in multidimensional networks,, in 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), (2011), 490.
doi: 10.1109/ASONAM.2011.104. |
[5] |
M. Berlingerio, M. Coscia, F. Giannotti, A. Monreale and D. Pedreschi, Evolving networks: Eras and turning points,, Intell. Data Anal., 17 (2013), 27. Google Scholar |
[6] |
M. Berlingerio, F. Pinelli and F. Calabrese, Abacus: frequent pattern mining-based community discovery in multidimensional networks,, Data Mining and Knowledge Discovery, 27 (2013), 294.
doi: 10.1007/s10618-013-0331-0. |
[7] |
V. D. Blondel, J.-l. Guillaume and E. Lefebvre, Fast unfolding of communities in large networks,, Journal of Statistical Mechanics: Theory and Experiment, 2008 (2008).
doi: 10.1088/1742-5468/2008/10/P10008. |
[8] |
P. Brodka and P. Kazienko, Encyclopedia of Social Network Analysis and Mining, Ch. Multi-layered Social Networks,, Springer, (2014). Google Scholar |
[9] |
P. Bródka, K. Skibicki, P. Kazienko and K. Musial, A degree centrality in multi-layered social network,, in 2011 International Conference on Computational Aspects of Social Networks (CASoN), (2011), 237. Google Scholar |
[10] |
D. Cai, Z. Shao, X. He, X. Yan and J. Han, Mining hidden community in heterogeneous social networks,, in Proceedings of the 3rd International Workshop on Link Discovery, (2005), 58.
doi: 10.1145/1134271.1134280. |
[11] |
E. Cozzo, M. Kivelä, M. De Domenico, A. Solé, A. Arenas, S. Gómez, M. A. Porter and Y. Moreno, Clustering coefficients in multiplex networks,, CoRR, (2013). Google Scholar |
[12] |
J. Dahlin and P. Svenson, Ensemble approaches for improving community detection methods,, CoRR, (2013). Google Scholar |
[13] |
M. De Domenico, A. Solé, S. Gómez and A. Arenas, Random walks on multiplex networks,, CoRR, (2013). Google Scholar |
[14] |
C. Dwork, R. Kumar, M. Naor and D. Sivakumar, Rank aggregation methods for the web,, in Proceedings of the 10th International Conference on World Wide Web, (2001), 613.
doi: 10.1145/371920.372165. |
[15] |
S. Fortunato, Community detection in graphs,, Physics Reports, 486 (2010), 75.
doi: 10.1016/j.physrep.2009.11.002. |
[16] |
B. H. Good, Y.-A. de Montjoye and A. Clauset, Performance of modularity maximization in practical contexts,, Physical Review E, 81 (2010).
doi: 10.1103/PhysRevE.81.046106. |
[17] |
R. Jäschke, L. Marinho, A. Hotho, L. Schmidt-Thieme and G. Stumme, Tag recommendations in social bookmarking systems,, AI Communications, 21 (2008), 231.
|
[18] |
R. Kanawati, YASCA: An ensemble-based approach for community detection in complex networks,, in Computing and Combinatorics, (8591), 657.
doi: 10.1007/978-3-319-08783-2_57. |
[19] |
P. Kazienko, P. Brodka and K. Musial, Individual neighbourhood exploration in complex multi-layered social network,, in 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), (2010), 5.
doi: 10.1109/WI-IAT.2010.313. |
[20] |
M. Kivelä, A. Arenas, M. Barthelemy, J. P. Gleeson, Y. Moreno and M. A. Porter, Multilayer networks,, preprint, (2013). Google Scholar |
[21] |
S. Massoud, Coeurs Stables de Communautés dans les Graphes de Terrain,, Ph.D thesis, (2012). Google Scholar |
[22] |
P. J. Mucha, T. Richardson, K. Macon, M. A. Porter and J.-P. Onnela, Community structure in time-dependent, multiscale, and multiplex networks,, Science, 328 (2010), 876.
doi: 10.1126/science.1184819. |
[23] |
P. J. Mucha, T. Richardson, K. Macon, M. A. Porter and J.-P. Onnela, Community structure in time-dependent, multiscale, and multiplex networks,, Science, 328 (2010), 876.
doi: 10.1126/science.1184819. |
[24] |
T. Murata, Modularity for heterogeneous networks,, in Proceedings of the 21st ACM Conference on Hypertext and Hypermedia, (2010), 129.
doi: 10.1145/1810617.1810640. |
[25] |
A. Potgieter, R. J. E. Cooke, K. A. April and I. O. Osunmakinde, Temporality in link prediction: Understanding social complexity,, Emergence: Complexity & Organization, 11 (2009), 69. Google Scholar |
[26] |
J. Reichardt and S. Bornholdt, Statistical mechanics of community detection,, Physical Review E, 74 (2006).
doi: 10.1103/PhysRevE.74.016110. |
[27] |
K. Rushed, Seed-centric approaches for community detection in complex networks,, in Social Computing and Social Media, (2014), 197. Google Scholar |
[28] |
D. Suthers, J. Fusco, P. Schank, K.-H. Chu and M. Schlager, Discovery of community structures in a heterogeneous professional online network,, in 2013 46th Hawaii International Conference on System Sciences (HICSS), (2013), 3262.
doi: 10.1109/HICSS.2013.179. |
[29] |
L. Tang and H. Liu, Community detection and mining in social media,, Synthesis Lectures on Data Mining and Knowledge Discovery, 2 (2010), 1.
doi: 10.2200/S00298ED1V01Y201009DMK003. |
[30] |
Y. Zied and K. Rushed, Licod: Leader-driven approach for community detection in complex networks,, Vietnam Journal of Computer Science, (2014). Google Scholar |
show all references
References:
[1] |
S. Alexander and G. Joydeep, Cluster ensembles a knowledge reuse framework for combining multiple partitions,, The Journal of Machine Learning Research, 3 (2003), 583.
doi: 10.1162/153244303321897735. |
[2] |
A. Amelio and C. Pizzuti, A cooperative evolutionary approach to learn communities in multilayer networks,, in Parallel Problem Solving from Nature-PPSN XIII, (8672), 222.
doi: 10.1007/978-3-319-10762-2_22. |
[3] |
F. Battiston, V. Nicosia and V. Latora, Structural measures for multiplex networks,, Physical Review E, 89 (2014).
doi: 10.1103/PhysRevE.89.032804. |
[4] |
M. Berlingerio, M. Coscia and F. Giannotti, Finding and characterizing communities in multidimensional networks,, in 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), (2011), 490.
doi: 10.1109/ASONAM.2011.104. |
[5] |
M. Berlingerio, M. Coscia, F. Giannotti, A. Monreale and D. Pedreschi, Evolving networks: Eras and turning points,, Intell. Data Anal., 17 (2013), 27. Google Scholar |
[6] |
M. Berlingerio, F. Pinelli and F. Calabrese, Abacus: frequent pattern mining-based community discovery in multidimensional networks,, Data Mining and Knowledge Discovery, 27 (2013), 294.
doi: 10.1007/s10618-013-0331-0. |
[7] |
V. D. Blondel, J.-l. Guillaume and E. Lefebvre, Fast unfolding of communities in large networks,, Journal of Statistical Mechanics: Theory and Experiment, 2008 (2008).
doi: 10.1088/1742-5468/2008/10/P10008. |
[8] |
P. Brodka and P. Kazienko, Encyclopedia of Social Network Analysis and Mining, Ch. Multi-layered Social Networks,, Springer, (2014). Google Scholar |
[9] |
P. Bródka, K. Skibicki, P. Kazienko and K. Musial, A degree centrality in multi-layered social network,, in 2011 International Conference on Computational Aspects of Social Networks (CASoN), (2011), 237. Google Scholar |
[10] |
D. Cai, Z. Shao, X. He, X. Yan and J. Han, Mining hidden community in heterogeneous social networks,, in Proceedings of the 3rd International Workshop on Link Discovery, (2005), 58.
doi: 10.1145/1134271.1134280. |
[11] |
E. Cozzo, M. Kivelä, M. De Domenico, A. Solé, A. Arenas, S. Gómez, M. A. Porter and Y. Moreno, Clustering coefficients in multiplex networks,, CoRR, (2013). Google Scholar |
[12] |
J. Dahlin and P. Svenson, Ensemble approaches for improving community detection methods,, CoRR, (2013). Google Scholar |
[13] |
M. De Domenico, A. Solé, S. Gómez and A. Arenas, Random walks on multiplex networks,, CoRR, (2013). Google Scholar |
[14] |
C. Dwork, R. Kumar, M. Naor and D. Sivakumar, Rank aggregation methods for the web,, in Proceedings of the 10th International Conference on World Wide Web, (2001), 613.
doi: 10.1145/371920.372165. |
[15] |
S. Fortunato, Community detection in graphs,, Physics Reports, 486 (2010), 75.
doi: 10.1016/j.physrep.2009.11.002. |
[16] |
B. H. Good, Y.-A. de Montjoye and A. Clauset, Performance of modularity maximization in practical contexts,, Physical Review E, 81 (2010).
doi: 10.1103/PhysRevE.81.046106. |
[17] |
R. Jäschke, L. Marinho, A. Hotho, L. Schmidt-Thieme and G. Stumme, Tag recommendations in social bookmarking systems,, AI Communications, 21 (2008), 231.
|
[18] |
R. Kanawati, YASCA: An ensemble-based approach for community detection in complex networks,, in Computing and Combinatorics, (8591), 657.
doi: 10.1007/978-3-319-08783-2_57. |
[19] |
P. Kazienko, P. Brodka and K. Musial, Individual neighbourhood exploration in complex multi-layered social network,, in 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), (2010), 5.
doi: 10.1109/WI-IAT.2010.313. |
[20] |
M. Kivelä, A. Arenas, M. Barthelemy, J. P. Gleeson, Y. Moreno and M. A. Porter, Multilayer networks,, preprint, (2013). Google Scholar |
[21] |
S. Massoud, Coeurs Stables de Communautés dans les Graphes de Terrain,, Ph.D thesis, (2012). Google Scholar |
[22] |
P. J. Mucha, T. Richardson, K. Macon, M. A. Porter and J.-P. Onnela, Community structure in time-dependent, multiscale, and multiplex networks,, Science, 328 (2010), 876.
doi: 10.1126/science.1184819. |
[23] |
P. J. Mucha, T. Richardson, K. Macon, M. A. Porter and J.-P. Onnela, Community structure in time-dependent, multiscale, and multiplex networks,, Science, 328 (2010), 876.
doi: 10.1126/science.1184819. |
[24] |
T. Murata, Modularity for heterogeneous networks,, in Proceedings of the 21st ACM Conference on Hypertext and Hypermedia, (2010), 129.
doi: 10.1145/1810617.1810640. |
[25] |
A. Potgieter, R. J. E. Cooke, K. A. April and I. O. Osunmakinde, Temporality in link prediction: Understanding social complexity,, Emergence: Complexity & Organization, 11 (2009), 69. Google Scholar |
[26] |
J. Reichardt and S. Bornholdt, Statistical mechanics of community detection,, Physical Review E, 74 (2006).
doi: 10.1103/PhysRevE.74.016110. |
[27] |
K. Rushed, Seed-centric approaches for community detection in complex networks,, in Social Computing and Social Media, (2014), 197. Google Scholar |
[28] |
D. Suthers, J. Fusco, P. Schank, K.-H. Chu and M. Schlager, Discovery of community structures in a heterogeneous professional online network,, in 2013 46th Hawaii International Conference on System Sciences (HICSS), (2013), 3262.
doi: 10.1109/HICSS.2013.179. |
[29] |
L. Tang and H. Liu, Community detection and mining in social media,, Synthesis Lectures on Data Mining and Knowledge Discovery, 2 (2010), 1.
doi: 10.2200/S00298ED1V01Y201009DMK003. |
[30] |
Y. Zied and K. Rushed, Licod: Leader-driven approach for community detection in complex networks,, Vietnam Journal of Computer Science, (2014). Google Scholar |
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