These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
142 related articles for article (PubMed ID: 18850899)
1. Sequential algorithm for fast clique percolation. Kumpula JM; Kivelä M; Kaski K; Saramäki J Phys Rev E Stat Nonlin Soft Matter Phys; 2008 Aug; 78(2 Pt 2):026109. PubMed ID: 18850899 [TBL] [Abstract][Full Text] [Related]
2. k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks. Liu Q; Chen YP; Li J J Theor Biol; 2014 Jan; 340():146-54. PubMed ID: 24056214 [TBL] [Abstract][Full Text] [Related]
3. Clique percolation in random networks. Derényi I; Palla G; Vicsek T Phys Rev Lett; 2005 Apr; 94(16):160202. PubMed ID: 15904198 [TBL] [Abstract][Full Text] [Related]
4. Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks. Rieck B; Fugacci U; Lukasczyk J; Leitte H IEEE Trans Vis Comput Graph; 2018 Jan; 24(1):822-831. PubMed ID: 28866539 [TBL] [Abstract][Full Text] [Related]
5. Biclique communities. Lehmann S; Schwartz M; Hansen LK Phys Rev E Stat Nonlin Soft Matter Phys; 2008 Jul; 78(1 Pt 2):016108. PubMed ID: 18764021 [TBL] [Abstract][Full Text] [Related]
6. Identifying protein complexes from interaction networks based on clique percolation and distance restriction. Wang J; Liu B; Li M; Pan Y BMC Genomics; 2010 Nov; 11 Suppl 2(Suppl 2):S10. PubMed ID: 21047377 [TBL] [Abstract][Full Text] [Related]
7. The application of clique percolation method in health disparities research. Lee C; Cao J; Gonzalez-Guarda R J Adv Nurs; 2023 Nov; 79(11):4318-4325. PubMed ID: 37424112 [TBL] [Abstract][Full Text] [Related]
8. Community Detection in Complex Networks via Clique Conductance. Lu Z; Wahlström J; Nehorai A Sci Rep; 2018 Apr; 8(1):5982. PubMed ID: 29654276 [TBL] [Abstract][Full Text] [Related]
9. Comparing the Clique Percolation algorithm to other overlapping community detection algorithms in psychological networks: A Monte Carlo simulation study. Ribeiro Santiago PH; Soares GH; Quintero A; Jamieson L Behav Res Methods; 2024 Oct; 56(7):7219-7240. PubMed ID: 38693441 [TBL] [Abstract][Full Text] [Related]
10. Clique percolation in random graphs. Li M; Deng Y; Wang BH Phys Rev E Stat Nonlin Soft Matter Phys; 2015 Oct; 92(4):042116. PubMed ID: 26565177 [TBL] [Abstract][Full Text] [Related]
11. Finite-size scaling of clique percolation on two-dimensional Moore lattices. Dong JQ; Shen Z; Zhang Y; Huang ZG; Huang L; Chen X Phys Rev E; 2018 May; 97(5-1):052133. PubMed ID: 29906990 [TBL] [Abstract][Full Text] [Related]
12. Finding community structure in very large networks. Clauset A; Newman ME; Moore C Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Dec; 70(6 Pt 2):066111. PubMed ID: 15697438 [TBL] [Abstract][Full Text] [Related]
13. Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit. Schaub MT; Delvenne JC; Yaliraki SN; Barahona M PLoS One; 2012; 7(2):e32210. PubMed ID: 22384178 [TBL] [Abstract][Full Text] [Related]
14. Identification of functional modules in a PPI network by clique percolation clustering. Zhang S; Ning X; Zhang XS Comput Biol Chem; 2006 Dec; 30(6):445-51. PubMed ID: 17098476 [TBL] [Abstract][Full Text] [Related]
15. Impacts of clustering on interacting epidemics. Wang B; Cao L; Suzuki H; Aihara K J Theor Biol; 2012 Jul; 304():121-30. PubMed ID: 22554949 [TBL] [Abstract][Full Text] [Related]
16. An efficient approximation algorithm for finding a maximum clique using Hopfield network learning. Wang RL; Tang Z; Cao QP Neural Comput; 2003 Jul; 15(7):1605-19. PubMed ID: 12816568 [TBL] [Abstract][Full Text] [Related]
17. Approximating the maximum weight clique using replicator dynamics. Bomze IR; Pelillo M; Stix V IEEE Trans Neural Netw; 2000; 11(6):1228-41. PubMed ID: 18249849 [TBL] [Abstract][Full Text] [Related]
18. Predicting disease-related proteins based on clique backbone in protein-protein interaction network. Yang L; Zhao X; Tang X Int J Biol Sci; 2014; 10(7):677-88. PubMed ID: 25013377 [TBL] [Abstract][Full Text] [Related]
19. Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques. Ding C; He X; Xiong H; Peng H; Holbrook SR Int J Data Min Bioinform; 2006; 1(2):162-77. PubMed ID: 18399069 [TBL] [Abstract][Full Text] [Related]
20. Quantifying social group evolution. Palla G; Barabási AL; Vicsek T Nature; 2007 Apr; 446(7136):664-7. PubMed ID: 17410175 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]