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[1] Steve Gregory,et al. Finding overlapping communities in networks by label propagation , 2009, ArXiv.
[2] Steve Gregory,et al. An Algorithm to Find Overlapping Community Structure in Networks , 2007, PKDD.
[3] Réka Albert,et al. Near linear time algorithm to detect community structures in large-scale networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[4] S. Dongen. Graph clustering by flow simulation , 2000 .
[5] Martin Rosvall,et al. Multilevel Compression of Random Walks on Networks Reveals Hierarchical Organization in Large Integrated Systems , 2010, PloS one.
[6] J. Reichardt,et al. Statistical mechanics of community detection. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[7] Julia Hirschberg,et al. V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure , 2007, EMNLP.
[8] Ben Strasser,et al. Distributed Graph Clustering Using Modularity and Map Equation , 2017, Euro-Par.
[9] Jianbo Shi,et al. Multiclass spectral clustering , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[10] Dino Pedreschi,et al. Uncovering Hierarchical and Overlapping Communities with a Local-First Approach , 2014, TKDD.
[11] Andrea Lancichinetti,et al. Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.
[12] J. Kumpula,et al. Sequential algorithm for fast clique percolation. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[13] Steve Gregory,et al. Detecting communities in networks by merging cliques , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.
[14] Daniel Halperin,et al. Scalable Flow-Based Community Detection for Large-Scale Network Analysis , 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.
[15] M. Gribaudo,et al. 2002 , 2001, Cell and Tissue Research.
[16] Alexandre Hollocou,et al. Hierarchical Graph Clustering using Node Pair Sampling , 2018, ArXiv.
[17] Martin Rosvall,et al. Maps of random walks on complex networks reveal community structure , 2007, Proceedings of the National Academy of Sciences.
[18] W. Wilfred Godfrey,et al. Comparative analysis of community detection algorithms , 2017, 2017 Conference on Information and Communication Technology (CICT).
[19] Matthieu Latapy,et al. Computing Communities in Large Networks Using Random Walks , 2004, J. Graph Algorithms Appl..
[20] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[21] Chang-Dong Wang,et al. EdMot: An Edge Enhancement Approach for Motif-aware Community Detection , 2019, KDD.
[22] Andrea Lancichinetti,et al. Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[23] A. Azzouz. 2011 , 2020, City.
[24] Joseph Gonzalez,et al. PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs , 2012, OSDI.
[25] Fergal Reid,et al. Percolation Computation in Complex Networks , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
[26] James Bailey,et al. Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance , 2010, J. Mach. Learn. Res..
[27] M. Newman,et al. Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[28] Chris Hankin,et al. Fast Multi-Scale Detection of Relevant Communities , 2012, ArXiv.
[29] E. Kandel,et al. Proceedings of the National Academy of Sciences of the United States of America. Annual subject and author indexes. , 1990, Proceedings of the National Academy of Sciences of the United States of America.
[30] Robert E. Tarjan,et al. Graph Clustering and Minimum Cut Trees , 2004, Internet Math..
[31] David M Blei,et al. Efficient discovery of overlapping communities in massive networks , 2013, Proceedings of the National Academy of Sciences.
[32] Xiaoming Liu,et al. SLPA: Uncovering Overlapping Communities in Social Networks via a Speaker-Listener Interaction Dynamic Process , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.
[33] Rok Sosic,et al. SNAP , 2016, ACM Trans. Intell. Syst. Technol..
[34] M. Newman,et al. Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[35] Xiandong Meng,et al. SpaRC: Scalable Sequence Clustering using Apache Spark , 2018, bioRxiv.
[36] Qiong Luo,et al. Parallelizing Pruning-based Graph Structural Clustering , 2018, ICPP.
[37] Stephen Kelley. The existence and discovery of overlapping communities in large-scale networks , 2009 .
[38] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[39] Alex Arenas,et al. Analysis of the structure of complex networks at different resolution levels , 2007, physics/0703218.
[40] Dino Pedreschi,et al. DEMON: a local-first discovery method for overlapping communities , 2012, KDD.
[41] Chris Hankin,et al. Fast Multi-Scale Detection of Relevant Communities in Large-Scale Networks , 2013, Comput. J..
[42] Jure Leskovec,et al. Overlapping community detection at scale: a nonnegative matrix factorization approach , 2013, WSDM.
[43] Zhao Yang,et al. A Comparative Analysis of Community Detection Algorithms on Artificial Networks , 2016, Scientific Reports.
[44] M E J Newman,et al. Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[45] Yasuhiro Fujiwara,et al. SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs , 2015, Proc. VLDB Endow..
[46] Bill Howe,et al. GossipMap: a distributed community detection algorithm for billion-edge directed graphs , 2015, SC15: International Conference for High Performance Computing, Networking, Storage and Analysis.
[47] Ira Assent,et al. Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs , 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).
[48] F. Radicchi,et al. Benchmark graphs for testing community detection algorithms. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[49] Alexandre Hollocou,et al. A Streaming Algorithm for Graph Clustering , 2017, NIPS 2017.
[50] Fanghua Ye,et al. Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection , 2018, CIKM.
[51] Ambuj K. Singh,et al. Scalable discovery of best clusters on large graphs , 2010, Proc. VLDB Endow..
[52] Josep-Lluís Larriba-Pey,et al. High quality, scalable and parallel community detection for large real graphs , 2014, WWW.
[53] Gábor Csárdi,et al. The igraph software package for complex network research , 2006 .
[54] Andreas Geyer-Schulz,et al. An ensemble learning strategy for graph clustering , 2012, Graph Partitioning and Graph Clustering.
[55] Christian Staudt,et al. NetworKit: A tool suite for large-scale complex network analysis , 2014, Network Science.
[56] Jianbin Huang,et al. Towards Online Multiresolution Community Detection in Large-Scale Networks , 2011, PloS one.
[57] Neil J. Hurley,et al. Detecting Highly Overlapping Communities with Model-Based Overlapping Seed Expansion , 2010, ASONAM.
[58] P. Ronhovde,et al. Local resolution-limit-free Potts model for community detection. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[59] Lili Wang,et al. Deconvolute individual genomes from metagenome sequences through short read clustering , 2020, PeerJ.
[60] M. Cugmas,et al. On comparing partitions , 2015 .
[61] Xueqi Cheng,et al. A Non-negative Symmetric Encoder-Decoder Approach for Community Detection , 2017, CIKM.
[62] Jure Leskovec,et al. Defining and evaluating network communities based on ground-truth , 2012, Knowledge and Information Systems.
[63] Boleslaw K. Szymanski,et al. LabelRank: A stabilized label propagation algorithm for community detection in networks , 2013, 2013 IEEE 2nd Network Science Workshop (NSW).
[64] V. Traag,et al. Community detection in networks with positive and negative links. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[65] Roger Guimerà,et al. Extracting the hierarchical organization of complex systems , 2007, Proceedings of the National Academy of Sciences.
[66] Santo Fortunato,et al. Finding Statistically Significant Communities in Networks , 2010, PloS one.
[67] Mao-Bin Hu,et al. Detect overlapping and hierarchical community structure in networks , 2008, ArXiv.
[68] Andrea Lancichinetti,et al. Detecting the overlapping and hierarchical community structure in complex networks , 2008, 0802.1218.
[69] Rik Sarkar,et al. Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs , 2020, CIKM.
[70] Elena Marchiori,et al. Graph clustering with local search optimization: the resolution bias of the objective function matters most. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[71] Fergal Reid,et al. Title Detecting Highly Overlapping Community Structure by Greedy Clique Expansion Detecting Highly Overlapping Community Structure by Greedy Clique Expansion , 2022 .
[72] Delbert Dueck,et al. Clustering by Passing Messages Between Data Points , 2007, Science.
[73] Lu Qin,et al. pSCAN: Fast and exact structural graph clustering , 2016, 2016 IEEE 32nd International Conference on Data Engineering (ICDE).
[74] Chris H. Q. Ding,et al. Symmetric Nonnegative Matrix Factorization for Graph Clustering , 2012, SDM.
[75] Sune Lehmann,et al. Link communities reveal multiscale complexity in networks , 2009, Nature.
[76] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[77] Silvio Lattanzi,et al. Ego-Splitting Framework: from Non-Overlapping to Overlapping Clusters , 2017, KDD.