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SUCD Project##

This project is designed as an collection of the most recent community detection algorithms. Thanks for the contribution of :

  • Lovingmage(Algorithm design & implementation)
  • TQJADE(algorithm optimization)
  • hoduan(Experimental studies & algorithm validation)
  • raven47zrq(program debug & testing)
  • bollakarthikeya(Dataset preprocessing)

File structure

Basic Codes : This file contains all the basic community detection scripts

Datasets : This file contains some popular network files which may used in the future works.

KcorePeng14Arxiv : This file contains the implementatiopn of Kcore decomposion for speedup community detection

Spectral : This part is the code, used for the research on speedup community detection works by using hardware simulation

Basic Codes

Dataset

KcorePeng14Arxiv

Spectral

The file currently contains two scripts which highly rely on matrix eigenvalues and eigenvectors. One is spectral clustering method and another is principle component analysis.

About

This repository is a research code sharing platform for SU community detection group.

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  • Python 99.8%
  • Other 0.2%