Community Detection Cyclic Patterns

Cyclic Patterns

• DAOC: Stable Clustering of Large Networks (Phys. Rev E 2019)

  • Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
  • [Paper]
  • [C++ Reference]

• Fast Consensus Clustering in Complex Networks (Phys. Rev E 2019)

  • Aditya Tandon, Aiiad Albeshri, Vijey Thayananthan, Wadee Alhalabi, Santo Fortunato
  • [Paper]
  • [Python Reference]

• EdMot: An Edge Enhancement Approach for Motif-aware Community Detection (KDD 2019)

  • Pei-Zhen Li, Ling Huang, Chang-Dong Wang, and Jian-Huang Lai
  • [Paper]
  • [Python Reference]
  • [Matlab Reference]

• From Louvain to Leiden: Guaranteeing Well-connected Communities (Scientific Reports 2019)

  • Vincent Traag, Ludo Waltman, Nees Jan van Eck
  • [Paper]
  • [C++ Reference]
  • [Julia Reference]

• Anti-community Detection in Complex Networks (SSDBM 2018)

  • Sebastian Lackner, Andreas Spitz, Matthias Weidemüller and Michael Gertz
  • [Paper]
  • [C Reference]

• Adaptive Modularity Maximization via Edge Weighting Scheme (Information Sciences 2018)

  • Xiaoyan Lu, Konstantin Kuzmin, Mingming Chen, and Boleslaw K Szymanski
  • [Paper]
  • [Python Reference]

• Semi-Supervised Community Detection Using Structure and Size (ICDM 2018)

  • Arjun Bakshi, Srinivasan Parthasarathy, and Kannan Srinivasan
  • [Paper]
  • [Python Reference]

• Graph Sketching-based Space-efficient Data Clustering (SDM 2018)

  • Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
  • [Paper]
  • [Python Reference]

• Hierarchical Graph Clustering using Node Pair Sampling (Arxiv 2018)

  • Thomas Bonald, Bertrand Charpentier, Alexis Galland and Alexandre Hollocou
  • [Paper]
  • [Python Reference]

• Priority Based Clustering in Weighted Graph Streams (JISE 2018)

  • Mohsen Saadatpour, Sayyed Kamyar Izadi, Mohammad Nasirifar, and Hamed Kavoosi
  • [Paper]
  • [Java Reference]

• Graph Learning for Multiview Clustering (IEEE Transactions on Cybernetics 2017)

  • Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, and Jamal Atif
  • [Paper]
  • [Matlab Reference]

• DCEIL: Distributed Community Detection with the CEIL Score (IEEE HPCC 2017)

  • Akash Jain, Rupesh Nasre, Balaraman Ravindran
  • [Paper]
  • [Java Reference]

• A Community Detection Algorithm Using Network Topologies and Rule-Based Hierarchical Arc-Merging Strategies (PLOS One 2017)

  • Yu-Hsiang Fu, Chung-Yuan Huang, and Chuen-Tsai Sun
  • [Paper]
  • [Python Reference]

• Local Higher-Order Graph Clustering (KDD 2017)

  • Hao Yin, Austin Benson, Jure Leskovec, and David Gleich
  • [Paper]
  • [Python Reference]
  • [C++ SNAP Reference]

• ComSim: A Bipartite Community Detection Algorithm Using Cycle and Node’s Similarity (Complex Networks 2017)

  • Raphael Tack, Fabien Tarissan, and Jean-Loup Guillaume
  • [Paper]
  • [C++ Reference]

• Evolutionary Graph Clustering for Protein Complex Identification (IEEE Transactions on Computational Biology and Bioinformatics 2016)

  • Tiantian He and Keith C.C. Chan
  • [Paper]
  • [Java Reference]

• pSCAN: Fast and Exact Structural Graph Clustering (ICDE 2016)

  • T Lijun Chang, Wei Li, Xuemin Lin, Lu Qin, and Wenjie Zhang
  • [Paper]
  • [C++ Reference]
  • [Scala]

• Node-Centric Detection of OverlappingCommunities in Social Networks (IWSCN 2016)

  • Yehonatan Cohen, Danny Hendler, Amir Rubin
  • [Paper]
  • [Java Reference]

• Graph Clustering with Density-Cut (Arxiv 2016)

  • Junming Shao, Qinli Yang, Jinhu Liu, Stefan Kramer
  • [Paper]
  • [Go Reference]

• Community Detection in Directed Acyclic Graphs (European Physical Journal B 2015)

  • Leo Speidel, Taro Takaguchi, Naoki Masuda
  • [Paper]
  • [Python Reference]

• Intra-Graph Clustering Using Collaborative Similarity Measure (DPCD 2015)

  • Waqas Nawaz, Kifayat-Ullah Khan, Young-Koo Lee, and Sungyoung Lee
  • [Paper]
  • [Java Reference]

• K-Clique Community Detection in Social NetworksBased on Formal Concept Analysis (IEEE Systems 2015)

  • Fei Hao, Geyong Min, Zheng Pei, Doo-Soon Park, Laurence T. Yang
  • [Paper]
  • [Python Reference]

• High Quality, Scalable and Parallel Community Detection for Large Real Graphs (WWW 2014)

  • Arnau Prat-Perez David Dominguez-Sal and Josep-Lluis Larriba-Pey
  • [Paper]
  • [C++ Reference]

• GMAC: A Seed-Insensitive Approach to Local Community Detection (DaWak 2013)

  • Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Jianan Wu, and Yanzhe Che
  • [Paper]
  • [Python Reference]

• On the Maximum Quasi-Clique Problem (Discrete Applied Mathematics 2013)

  • Jeffrey Pattillo, Alexander Veremyev, Sergiy Butenko, and Vladimir Boginski
  • [Paper]
  • [Python Reference]

• Community Detection in Networks with Node Attributes (ICDM 2013)

  • Jaewon Yang, Julian McAuley, and Jure Leskovec
  • [Paper]
  • [C++ Reference]

• Detecting the Structure of Social Networks Using (α,β)-Communities (IWAMW 2011)

  • Jing He, John Hopcroft, Liang Hongyu, Supasorn Suwajanakorn, and Liaoruo Wang
  • [Paper]
  • [Python Reference]

• Multi-Netclust: An Efficient Tool for Finding Connected Clusters in Multi-Parametric Networks (IWAMW 2011)

  • Arnold Kuzniar, Somdutta Dhir, Harm Nijveen, Sándor Pongor, Jack A.M. Leunissen
  • [Paper]
  • [C Reference]

• Detecting Communities in Networks by Merging Cliques (IEEE ICICISYS 2009)

  • Bowen Yan and Steve Gregory
  • [Paper]
  • [Java Reference]

• Fast Unfolding of Communities in Large Networks (Journal of Statistical Mechanics 2008)

  • Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, Renaud Lefebvre
  • [Paper]
  • [Python]
  • [Python]
  • [C++ Parallel]
  • [C++]
  • [Javascript]
  • [Javascript]
  • [Java]
  • [Matlab]
  • [Matlab]
  • [Scala]
  • [Rust]

• Modularity and Community Detection in Bipartite Networks (Phys. Rev. E 2007)

  • Michael J. Barber
  • [Paper]
  • [Python Reference]