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An empirical study of the effect of profile and behavioral characteristics on the infiltration rate of socialbots

A popular online social network (OSN) such as Twitter has attracted the interest of social criminals. Social criminals need to infiltrate social networks to achieve their goals. Socialbots imitate the actions that a human can do with a Twitter account, and also they work in a surreptitious way. They can influence on Twitter users, and infiltrate the Twitter social network. In this paper, 128 socialbot accounts are created in Twitter. They are different in profile characteristics and behavioral characteristics. The effect of different characteristics on the infiltration rate is investigated, and the best strategy of a socialbot which leads to increase the infiltration rate is found. Our results show that behavioral characteristics have noticeable effect on the infiltration rate, and the effect of profile characteristics on the infiltration rate is low.