Cargando…
Graph partitioning MapReduce-based algorithms for counting triangles in large-scale graphs
Counting number of triangles in the graph is considered a major task in many large-scale graph analytics problems such as clustering coefficient, transitivity ratio, trusses, etc. In recent years, MapReduce becomes one of the most popular and powerful frameworks for analyzing large-scale graphs in c...
Autores principales: | Sharafeldeen, Ahmed, Alrahmawy, Mohammed, Elmougy, Samir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813377/ https://www.ncbi.nlm.nih.gov/pubmed/36599906 http://dx.doi.org/10.1038/s41598-022-25243-w |
Ejemplares similares
-
Efficient and Scalable Graph Similarity Joins in MapReduce
por: Chen, Yifan, et al.
Publicado: (2014) -
DHPV: a distributed algorithm for large-scale graph partitioning
por: Adoni, Wilfried Yves Hamilton, et al.
Publicado: (2020) -
Graphing trillions of triangles
por: Burkhardt, Paul
Publicado: (2016) -
Handling Data Skew in MapReduce Cluster by Using Partition Tuning
por: Gao, Yufei, et al.
Publicado: (2017) -
RNA Graph Partitioning for the Discovery of RNA Modularity: A Novel Application of Graph Partition Algorithm to Biology
por: Kim, Namhee, et al.
Publicado: (2014)