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BLADYG: A Graph Processing Framework for Large Dynamic Graphs

  • Published:2017-09 Issue: Volume:9 Page:9-17
  • ISSN:2214-5796
  • Container-title:Big Data Research
  • language:en
  • Short-container-title:Big Data Research

Author:

Aridhi Sabeur,Montresor Alberto,Velegrakis YannisORCID

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference30 articles.

1. Distributed k-core view materialization and maintenance for large dynamic graphs;Aksu;IEEE Trans. Knowl. Data Eng.,2014

2. k-Core decomposition of internet graphs: hierarchies, self-similarity and measurement biases;Alvarez-Hamelin;Netw. Heterog. Media,2008

3. Distributed k-core decomposition and maintenance in large dynamic graphs;Aridhi,2016

4. BLADYG: a novel block-centric framework for the analysis of large dynamic graphs;Aridhi,2016

5. Big graph mining: frameworks and techniques;Aridhi;Big Data Res.,2016

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2. A survey of continuous subgraph matching for dynamic graphs;Knowledge and Information Systems;2022-10-19

3. A Comparative Study of Large Automata Distributed Processing;2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT);2022-10-12

4. A distributed and incremental algorithm for large-scale graph clustering;Future Generation Computer Systems;2022-09

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