https://github.com/tatakkkl/social-dcm

social Discrete Choice Models in Python
https://github.com/tatakkkl/social-dcm

admm gibbs-sampling mcem social-network social-sciences

Last synced: 7 months ago
JSON representation

social Discrete Choice Models in Python

• Host: GitHub
• URL: https://github.com/tatakkkl/social-dcm
• Owner: TataKKKL
• License: mit
• Created: 2017-02-17T11:25:18.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2024-08-17T06:51:17.000Z (about 1 year ago)
• Last Synced: 2025-04-15T03:51:43.775Z (7 months ago)
• Topics: admm, gibbs-sampling, mcem, social-network, social-sciences
• Language: Jupyter Notebook
• Homepage:
• Size: 415 KB
• Stars: 13
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# social-DCM

This repository contains the source code of "latent class logistics regression model", "social logistics regression model" and "social latent class logistics regression model". If you are using this code for your research, please cite the following paper

```

@inproceedings{MLG2018GraphRAD,

  title={GraphRAD: A Graph-based Risky Account Detection System},

  author={Jun Ma*, Danqing Zhang*, Yun Wang, Yan Zhang, Alexei Pozdnukhov},

  booktitle={Proceedings of the 14th International Workshop on Mining and Learning with Graphs (MLG)},

  year={2018}

}

```

Code implemented by Danqing Zhang (danqing0703@berkeley.edu), modified by Xiang(Sean) He (xianghe@amazon.com)