Collusion in Online Social Networks

Funding Agency: Flipkart Pvt. Ltd, SERB (DST), DST (Indo-UK project)

Overview

Online Social Networks, being popular mediums for mass communications, become attractive platforms for blackmarket syndicates to provide handsome offers to users. This in turn manipulates many decision making processes such as deciding trending topics, measuring impact of social profiles etc. In this project, we are focusing on detecting and analyzing various types of collusive activities:

  1. Collusive Follower Detection: We build real-world tools to detect followers which are manifested by blackmarket agencies
  2. Collusive Retweeter Detection: We aim at developing unsupervised and supervised mechanisms to detect retweeters who are controlled by blackmarkets.
  3. Collusive Review Detection: We focus on building tools to detect reviews in E-commerce sites or discussion forums, which are controlled by blackmarket services to promote and demote products.

People

Deepak Thukral
Deepak Thukral
Undergrad student (2014-2018)
Aditya Chetan
Undergrad student (2016-2020)
Brihi Joshi
Undergrad student (2016-2020)
Sarthika Dhawan
Sarthika Dhawan
Undergrad student (2016-2020)
Viresh Gupta
Viresh Gupta
Undergrad student (2016-2020)
Aayush Aggarwal
Aayush Aggarwal
Undergrad student (2016-2020)
Vishal Raj Dutta
Vishal Raj Dutta
Undergrad student (2015-2019)
Aditya Adhikary
Aditya Adhikary
Undergrad student (2015-2019)
Dr. Tanmoy Chakraborty
Assistant Professor