Social media network bots identification and analysis
Dissertant
Thesis advisor
Comitee Members
al-Bluwi, Ibrahim
Abu Tair, Diya al-Din I.
al-Atum, Jalal
University
Princess Sumaya University for Technology
Faculty
King Hussein Faculty for Computing Sciences
Department
Department of Computer Sciences
University Country
Jordan
Degree
Master
Degree Date
2015
English Abstract
With the rapid growth of Online Social Networks (OSN), their direct involvement in our daily lives and with the enormous number of users, OSNs have become the perfect target for people to use in a harmful way.
The OSNs are injected with huge number of fake accounts or automated accounts (bots) that try to spread malicious links and harmful data or try to benefit others on their agenda. In this thesis, a framework for Twitter is proposed.
Our proposed framework uses specific features extracted from Twitter profiles along with machine learning algorithms in order to identify bot accounts on Twitter.
The extracted features can differ between human’s behavior on Twitter and bot’s.
After extracting the necessary features, the machine learning algorithms produce a set of rules that can distinguish bot accounts from real accounts. Several tests has been conducted on a dataset collected by multiple methodologies for number of Twitter accounts.
The framework shows an amazing performance by having an accuracy of 96% and above in detecting bot accounts.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
82
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Proposed system framework.
Chapter Four : Analysis and results.
Chapter Five : Conclusion and future work.
References.
American Psychological Association (APA)
Abdi, Hamzah Jalal. (2015). Social media network bots identification and analysis. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-650897
Modern Language Association (MLA)
Abdi, Hamzah Jalal. Social media network bots identification and analysis. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2015).
https://search.emarefa.net/detail/BIM-650897
American Medical Association (AMA)
Abdi, Hamzah Jalal. (2015). Social media network bots identification and analysis. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-650897
Language
English
Data Type
Arab Theses
Record ID
BIM-650897