Document Type

Conference Proceeding

Publication Date



Social networks are an important part of today’s life. They are used for entertainment, getting the news, advertisements, and branding for businesses and individuals alike. Research shows that automated accounts, also known as bots, contribute to the content spread on social media allowing the the environment pollution and public opinion manipulation. This research aims at investigating bots’ behavior on Twitter and examine how different and similar they are compared to humans. I will investigate their underlying network, whether it is an information network or social network. In the second step, I attempt to answer whether they follow the structure of scale-free networks. In the third step, their conformity to the law of naturally-occurring systems. Finally, I study their graphical attributes and perform a comparative analysis with other existing algorithms and platforms. This research gives insights into the better understanding of behavior of bots and their activities leading to bot detection improvement.


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