Date of Submission

Spring 2017

Academic Programs and Concentrations

Computer Science

Project Advisor 1

Sven Anderson

Project Advisor 2

Khondaker Salehin

Abstract/Artist's Statement

Community detection in large networks is a process that has been heavily researched in the past decade due to the the emergence of online social networks. For Twitter, Inc., analyzing terrorists communities is vital in the fight against ISIS recruiters who use the twitter platform to radicalize people around the world. The goal of this project is to develop an algorithm which can accurately detect communities in large networks and to provide textual analysis on the discovered communities. Our algorithm combines the results of two unsupervised clustering algorithms to find communities in a given network. One algorithm uses the structure of the network, and the other algorithm uses the text associated with the nodes. Our algorithm is tested on a hand labeled ground truth twitter network and applied to an ISIS twitter recruiting network.

Open Access Agreement

Open Access

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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