anukat2015 / fakhraei_kdd2015

Kognetics & BigLnq -> Data and code of the experiments for "Collective Spammer Detection in Evolving Multi-Relational Social Networks"

Implementation and data of the experiments in the following paper:

@inproceedings{fakhraei2015collective,
author = {Fakhraei, Shobeir and Foulds, James and Shashanka, Madhusudana and Getoor, Lise},
title = {Collective Spammer Detection in Evolving Multi-Relational Social Networks},
booktitle = {Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
series = {KDD '15},
year = {2015},
isbn = {978-1-4503-3664-2},
location = {Sydney, NSW, Australia},
pages = {1769--1778},
doi = {10.1145/2783258.2788606},
publisher = {ACM},
}

Folders:

• code_psl: PSL code for collective spammer detection.
• code_python: Python code (and iPython notebook versions) for computing graph and sequence features and classification, and exporting data for PSL.
• data: Placeholder for dataset please download the dataset from https://obj.umiacs.umd.edu/tagged_social_spam/index.html
• output: Placeholder for the features and predictions.

Dependencies:

• Graphlab Create: https://dato.com/products/create/
• NumPy: http://www.numpy.org/
• scikit-learn: http://scikit-learn.org/stable/

A copy of the paper can be found here:
http://linqs.cs.umd.edu/basilic/web/Publications/2015/fakhraei:kdd15/