Welcome to COIN Lab.

Welcome to the website of Computer and Information Networks (COIN) laboratory at University of Tehran. The mission of COIN lab is to perform innovative research in Social Networks and Media Analysis.

We are trying to analyze large-scale data gathered from online social media and networks sites, aiming to study user behaviors in such platforms. In the first area, we are mainly focused on the roles of structural properties of a network (i.e., the topology of a social network as an underlying network) in the behavior of dynamical processes over them. On the other hand, with rapid growth of Web 2.0 technologies and social media, nowadays we have a huge volume of opinionated data recorded in digital forms such as online reviews, forum discussions, comments on blogs and social networks. Then, in the second area, we are trying to process the content of a media (e.g., a tweet on Twitter) with NLP (natural language processing) methods for opinion mining and sentiment analysis.

Latest news

 

February 15, 2022

  • Ms Sedigheh Roshan Ghanbari successfully defended her Msc thesis entitled "Hate Speech Detection in Social Networks Based on Deep Learning Approach".

February 08, 2022

  • Our paper, "Multi-level text document similarity estimation and its application for plagiarism detection" has been published in Iran Journal of Computer Science.

February 1, 2022

  • Mr Majid Vaghari successfully defended his Msc thesis entitled "Proposing an Order placement Strategy for Financial Markets using Machine Learning".

November 15, 2021

  • Our paper, "GANBOT: a GAN-based framework for social bot detection" has been accepted in Journal of Social Network Analysis and Mining.

October 06, 2021

  • Mr Amir Reza Jafari successfully defended his Msc thesis entitled "Multilingual Sentiment Analysis using Pre-trained Models".

August 15, 2021

  • Our paper, "Adaptive gamification in Education" has been accepted in Proc. First Conference on eLearning: Lived Experiences, Evaluation, and Foresight.


News archive