temporal.md

Temporal Methods

• Co-Regularized Nonnegative Matrix Factorization for Evolving Community Detection in Dynamic Networks (Information Sciences 2020)

  • Xiaoke Ma, Benhui Zhang, Changzhou Ma, and Zhiyu Ma
  • [Paper]
  • [Java Reference]

• Mining Stable Communities in Temporal Networks by Density-based Clustering (IEEE Big Data 2020)

  • Hongchao Qin, Rong-Hua Li, Guoren Wang, Xin Huang, Ye Yuan, and Jeffrey Xu Yu
  • [Paper]
  • [Python Reference]

• Network Communities of Dynamical Influence (Nature Science Reports 2019)

  • Ruaridh Clark, Giuliano Punzo, Malcolm Macdonald
  • [Paper]
  • [Matlab Reference]

• Detecting Stable Communities in Link Streams at Multiple Temporal Scales (ECML-PKDD 2019)

  • Souaad Boudebza, Remy Cazabet, Omar Nouali, and Faical Azouaou
  • [Paper]
  • [Python Reference]

• DynComm R Package - Dynamic Community Detection for Evolving Networks (Arxiv 2019)

  • Rui Portocarrero Sarmento, Luís Lemos, Mário Cordeiro, Giulio Rossetti, and Douglas Cardoso
  • [Paper]
  • [R Reference]

• DyPerm: Maximizing Permanence for Dynamic Community Detection (PKDD 2018)

  • Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty
  • [Paper]
  • [Python Reference]

• OLCPM: An Online Framework for Detecting Overlapping Communities in Dynamic Social Networks (Computer Communciations, 2018)

  • Souaad Boudebzaa, Remy Cazabet, Faical Azouaoua, Omar Nouali
  • [Paper]
  • [Java Reference]

• Temporally Evolving Community Detection and Prediction in Content-Centric Networks (ECML 2018)

  • Ana Paula Appel, Renato L. F. Cunha, Charu C. Aggarwal, and Marcela Megumi Terakado
  • [Paper]
  • [Python Reference]

• A Streaming Algorithm for Graph Clustering (Arxiv 2017)

  • Alexandre Hollocou, Julien Maudet, Thomas Bonald and Marc Lelarge
  • [Paper]
  • [C++ Reference]

• DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity (Arxiv 2017)

  • Di Zhuang, J. Morris Chang, Mingchen Li
  • [Paper]
  • [Java Reference]

• Model-Based Clustering of Time-Evolving Networks through Temporal Exponential-Family Random Graph Models (Arxiv 2017)

  • Kevin H. Lee, Lingzhou Xue, and David R. Hunter
  • [Paper]
  • [R Reference]

• Dynamic Community Detection Based on Network Structural Perturbation and Topological Similarity (Journal of Statistical Mechanics 2017)

  • Peizhuo Wang, Lin Gao and Xiaoke Ma
  • [Paper]
  • [Matlab Reference]

• RDYN⁠: Graph Benchmark Handling Community Dynamics (Arxiv 2017)

  • Giulio Rossetti
  • [Paper]
  • [Python Reference]

• Sequential Detection of Temporal Communities by Estrangement Confinement (Scientific Reports 2012)

  • Vikas Kawadia and Sameet Sreenivasan
  • [Paper]
  • [Python Reference]

• Detection of overlapping communities in dynamical social networks (IEEE SocialCom 2010)

  • Rémy Cazabet, Frédéric Amblard, Chihab Hanachi
  • [Paper]
  • [Java Reference]

• GraphScope: Parameter-Free Mining of Large Time-Evolving Graphs (KDD 2007)

  • Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, and Philip S. Yu
  • [Paper]
  • [Java Reference]