Skip to content
/ QUAC Public

Parallel Graph processing algorithm in Apache Spark (pySpark)to find the Maximal Gamma Quasi cliques used for community detection in graphs of low to medium edge density .This project was designed using Map reduce framework for huge graphs.Because of the exponential complexity of the algorithm, we preferred a big data platform like Apache spark.…

License

Notifications You must be signed in to change notification settings

vishwass/QUAC

Repository files navigation

QUAC

Parallel Graph processing algorithm in Apache Spark (pySpark)to find the Maximal Gamma Quasi cliques used for community detection in graphs of low to medium edge density .This project was designed using Map reduce framework for huge graphs.Because of the exponential complexity of the algorithm, we preferred a big data platform like Apache spark. The implementation has its application in social network to cluster similar profiles.

The link to the IEEE document for the algorithm implemented can be found here

About

Parallel Graph processing algorithm in Apache Spark (pySpark)to find the Maximal Gamma Quasi cliques used for community detection in graphs of low to medium edge density .This project was designed using Map reduce framework for huge graphs.Because of the exponential complexity of the algorithm, we preferred a big data platform like Apache spark.…

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published