Cresci

DNA-inspired online behavioral modeling and its application to spambot detection

---

• authors: Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, and Maurizio Tesconi

• link: https://ieeexplore.ieee.org/abstract/document/7436643

• file structure:

├── preprocess.py
└── main.py

• implement details: The maximum length of a DNA is set to 998

How to reproduce:

1. extract DNAs from raw dataset

   python preprocess.py

   this command will create DNAs in corresponding directory. (This may take a bit of time)

2. utilize the DNA-based bot detection method:

   python main.py

   the final result will be printed on the screen

Result:

dataset		acc	precison	recall	f1
Cresci-2015	mean	0.3701	0.0059	0.6667	0.0117
Cresci-2015	var	0	0	0	0
Cresci-2017	mean	0.3349	0.1296	0.9530	0.2281
Cresci-2017	var	0	0	0	0
Twibot-20	mean	0.4776	0.0766	0.6447	0.1369
Twibot-20	var	0	0	0	0

baseline	acc on Twibot-22	f1 on Twibot-22	type	tags
Cresci et al.	-	-	T	DNA