@article{yardi2010detecting,
author = {Yardi, Sarita and Romero, Daniel and Schoenebeck, Grant and boyd, danah},
title = {Detecting spam in a Twitter network},
year = {2010},
month = {January},
abstract = {Spam becomes a problem as soon as an online communication medium becomes popular. Twitter’s behavioral and structural properties make it a fertile breeding ground for spammers to proliferate. In this article we examine spam around a one-time Twitter meme—“robotpickuplines”. We show the existence of structural network differences between spam accounts and legitimate users. We conclude by highlighting challenges in disambiguating spammers from legitimate users.},
publisher = {Microsoft Research},
url = {http://approjects.co.za/?big=en-us/research/publication/detecting-spam-in-a-twitter-network/},
journal = {First Monday},
volume = {15},
edition = {First Monday},
}