https://github.com/thangdnsf/BigCLAM-ApacheSpark

Overlapping community detection in Large-Scale Networks using BigCLAM model build on Apache Spark
https://github.com/thangdnsf/BigCLAM-ApacheSpark

apache-spark bigclam bigclam-model community-detection graph-mining graphx large-scale latex machine-learning scala scale-networks spark

Last synced: 21 days ago
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Overlapping community detection in Large-Scale Networks using BigCLAM model build on Apache Spark

• Host: GitHub
• URL: https://github.com/thangdnsf/BigCLAM-ApacheSpark
• Owner: thangdnsf
• License: mit
• Created: 2017-06-17T03:42:48.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2020-12-09T15:58:10.000Z (over 3 years ago)
• Last Synced: 2024-03-15T07:10:53.859Z (4 months ago)
• Topics: apache-spark, bigclam, bigclam-model, community-detection, graph-mining, graphx, large-scale, latex, machine-learning, scala, scale-networks, spark
• Language: Scala
• Homepage:
• Size: 49.2 MB
• Stars: 37
• Watchers: 2
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Lists

• community-detection-awesome-provided - [Java Spark Reference
• awesome-community-detection - [Java Spark Reference

README

        
# BigCLAM-ApacheSpark

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.

![Figure 1-1](img.png)

![Figure 1-2](BigClamK_1sp.png)

Contact:[email protected]

Every comment would be appreciated.

If you want to use parts of any code of mine:

let me know and use it!