Update to myself: should consider rewriting the code to make it more elegant and efficient given time
Mou G., Lee K. (2020) Malicious Bot Detection in Online Social Networks: Arming Handcrafted Features with Deep Learning. In: Aref S. et al. (eds) Social Informatics. SocInfo 2020. Lecture Notes in Computer Science, vol 12467. Springer, Cham. https://doi.org/10.1007/978-3-030-60975-7_17
@inproceedings{mou2020malicious,
title={Malicious Bot Detection in Online Social Networks: Arming Handcrafted Features with Deep Learning},
author={Mou, Guanyi and Lee, Kyumin},
booktitle={International Conference on Social Informatics},
pages={220--236},
year={2020},
organization={Springer}
}
We have 2 folders, Code for the whole model we proposed in the paper, Data for sample data from the original full dataset.
Do note that the sample data is only a very small proportion of the full dataset (2 batch for each split). These are provided to show our code is executable. For interested readers, please refer to the paper's citations. All datasets we used are publically available. One should be able to download and preprocess these data.
For any further questions, please contact gmou@wpi.edu and I would be more than happy to reply.