A comparison of community detection algorithms on artificial networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5808 LNAI, Issue , 2009, Pages 242-256

  Orman, Günce Keziban ^a,b   Labatut, Vincent ^a  

^a GALATASARAY UNIVERSITY   (Turkey)

^b SCIENTIFIC AND TECHNOLOGICAL RESEARCH COUNCIL OF TURKEY   (Turkey)

Author keywords

Algorithms comparison; Community detection; Complex networks

Indexed keywords

ARTIFICIAL NETWORKS; COMMUNITY DETECTION; COMMUNITY DETECTION ALGORITHMS; COMPLEX NETWORKS; NORMALIZED MUTUAL INFORMATION; POWER-LAW; RANDOM MODEL; REAL NETWORKS;

DIELECTRIC RELAXATION; SIGNAL DETECTION;

ALGORITHMS;

EID: 71049173346     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04747-3_20     Document Type: Conference Paper

References (37)

1. Newman, M.E.J.: The structure and function of complex networks. SIAM Review 45, 167-256 (2003)
2. Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks. Physical Review E 69, 026113 (2004)
3. Duch, J., Arenas, A.: Community detection in complex networks using extremal optimization. Physical Review E 72, 027104 (2005)
4. Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. Proceedings of the National Academy of Sciences of the United States of America 99, 7821-7826 (2002)
5. Palla, G., Derenyi, I., Farkas, I., Vicsek, T.: Uncovering the overlapping community structure of complex networks in nature and society. Nature 435, 814-818 (2005)
6. Reichardt, J., Bornholdt, S.: Detecting Fuzzy Community Structures in Complex Networks with a Potts Model. Physical Review Letters 93, 218701 (2004)
7. Falkowski, T., Barth, A., Spiliopoulou, M.: DENGRAPH: A Density-based Community Detection Algorithm. In: IEEE/WIC/ACM International Conference on Web Intelligence, pp. 112-115 (2007)
8. Liu, Y., Wang, Q., Wang, Q., Yao, Q., Liu, Y.: Email Community Detection Using Artificial Ant Colony Clustering. In: Chang, K.C.-C., Wang, W., Chen, L., Ellis, C.A., Hsu, C.- H., Tsoi, A.C., Wang, H. (eds.) APWeb/WAIM 2007. LNCS, vol.4537, pp. 287-298. Springer, Heidelberg (2007)
9. Hoff, P., Raftery, A., Handcock, M.: Latent space approaches to social network analysis. Journal of the American Statistical Association 97, 1090-1098 (2002)
10. Newman, M.E.J.: Fast algorithm for detecting community structure in networks. Physical Review E 69, 066133 (2004)
11. Raghavan, U.N., Albert, R., Kumara, S.: Near linear time algorithm to detect community structures in large-scale networks. Phys. Rev. E 76, 036106 (2007)
12. Erdos, P., Renyi, A.: On random graphs. Publicationes Mathematicae 6, 290-297 (1959)
13. Danon, L., Diaz-Guilera, A., Arenas, A.: The effect of size heterogeneity on community identification in complex networks. Journal of Statistical Mechanics-Theory and Experiment 11010 (2006)
14. Lancichinetti, A., Fortunato, S., Radicchi, F.: Benchmark graphs for testing community detection algorithms. Phys. Rev. E Stat. Nonlin Soft. Matter Phys. 78, 46110 (2008)
15. Kuncheva, L.I., Hadjitodorov, S.T.: Using diversity in cluster ensembles. In: IEEE International Conference on Systems, Man and Cybernetics, vol.2, pp. 1214-1219 (2004)
16. Fred, A.L.N., Jain, A.K.: Robust Data Clustering. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.2, pp. 128-136. IEEE Computer Society, Los Alamitos (2003)
17. Danon, L., Díaz-Guilera, A., Duch, J., Arenas, A.: Comparing community structure identification. J. Stat. Mech P09008 (2005)
18. Holme, P., Kim, B.J., Yoon, C.N., Han, S.K.: Attack vulnerability of complex networks. Physical Review E 65, 026139 (2002)
19. Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.: Complex networks: structure and dynamics. Physics Reports 424, 175-308 (2006)
20. Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., Alon, U.: Network Motifs: Simple Building Blocks of Complex Networks. Science 298, 824-827 (2002)
21. Watts, D., Strogatz, S.H.: Collective dynamics of 'small-world' networks. Nature 393, 409-410 (1998)
22. Barabasi, A., Albert, R.: Statistical mechanics of complex networks. Reviews of Modern physics 74, 47-96 (2002)
23. Guimerà, R., Danon, L., Díaz-Guilera, A., Giralt, F., Arenas, A.: Self-similar community structure in a network of human interactions. Physical Review E 68, 065103 (2003)
24. Clauset, A., Newman, M.E.J., Moore, C.: Finding community structure in very large networks. Physical Review E 70, 066111 (2004)
25. Cohen, J.: A Coefficient of Agreement for Nominal Scales. Educational Psychology Measurement 20, 37-46 (1960)
26. Fortunato, S., Barthelemy, M.: Resolution limit in community detection. Proceedings of the National Academy of Science of the USA 104, 36-41 (2007)
27. Guimerà, R., Sales-Pardo, M., Amaral, L.A.N.: Modularity from fluctuations in random graphs and complex networks. Physical Review E 70, 025101 (2004)
28. Derenyi, I., Palla, G., Vicsek, T.: Clique percolation in random networks. Physical Review Letters 94 (2005)
29. Pons, P., Latapy, M.: Computing communities in large networks using random walks. In: Yolum, p., Güngör, T., Gürgen, F., Özturan, C. (eds.) ISCIS 2005. LNCS, vol.3733, pp. 284-293. Springer, Heidelberg (2005)
30. Newman, M.E.J.: Finding community structure in networks using the eigenvectors of matrices. Phys. Rev. E 74, 036104 (2006)
31. Reichardt, J., Bornholdt, S.: Statistical mechanics of community detection. Phys. Rev. E 74, 016110 (2006)
32. Radicchi, F., Castellano, C., Cecconi, F., Loreto, V., Parisi, D.: Defining and identifying communities in networks. Proceedings of the National Academy of Sciences of the United States of America 101, 2658-2663 (2004)
33. Donetti, L., Munoz, M.A.: Detecting network communities: a new systematic and efficient algorithm. Journal of Statistical Mechanics: Theory and Experiment P10012 (2004)
34. Molloy, M., Reed, B.: A critical point for random graphs with a given degree sequence. Random Structures and Algorithms 6, 161-179 (1995)
35. Serrano, M., Boguñá, M.: Weighted Configuration Model. In: AIP Conference Proceedings, vol.776, p. 101 (2005)
36. Chung, F., Lu, L.: The average distances in random graphs with given expected degrees. PNAS 99, 15879-15882 (2002) (Pubitemid 35462716)
37. Barabási, A.-L., Albert, R.: Emergence of Scaling in Random Networks. Science 286, 509-512 (1999)