Overlapping community detection in Large-Scale Networks using BigCLAM model build on Apache Spark
Score: A+
In this thesis, I provide a general view of communities and its real life applications. I introduce BigCLAM models proposed by Yang and Leskovec (2013), a popular model is used overlapping community detection algorithm. In particular, I proposed a few methods convex optimization and implemented BigCLAM in Apache Spark is evaluated as lightning-fast cluster computing to able detect community in the large-scale networks.
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Every comment would be appreciated.
If you want to use parts of any code of mine:
let me know and use it!