DPISCAN: Distributed and parallel architecture with indexing for structural clustering of massive dynamic graphs

Author:

Kumar D. K. SanthoshORCID,D′Mello Demian Antony

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Modeling and Simulation,Information Systems

Reference57 articles.

1. Inoubli, W., et al.: “A Distributed Algorithm for Large-Scale Graph Clustering,” L’archive Ouvert. Pluridiscip. HAL, p. hal-02190913v2, 2019, [Online]. Available: https://hal.inria.fr/hal-02190913v2

2. Bedru, H.D., et al.: Big networks: a survey. Comput. Sci. Rev. 37, 100247 (2020). https://doi.org/10.1016/j.cosrev.2020.100247

3. Iyer, A.P., et al.: Bridging the GAP: Towards approximate graph analytics. Proc 1st ACM SIGMOD Jt Int Work Graph Data Manag Exp Syst Netw Data Anal (NDA) GRADES-NDA (2018). https://doi.org/10.1145/3210259.3210269

4. Santhosh Kumar, D.K., D’Mello, D.A.: Strategies and Challenges in Big Data A Short Review. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds.) Intelligent Systems Design and Applications ISDA 2018 2018 Advances in Intelligent Systems and Comput”. Springer, Cham (2020)

5. “ Facebook MAU worldwide 2020 | Statista.” https://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/ (accessed Jun. 06, 2021)

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