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.
October 06, 2021
- Mr Amir Reza Jafari successfully defended his Msc thesis entitled "Multilingual Sentiment Analysis using Pre-trained Models".
July 01, 2021
- Our paper, "Contemporary Persian Inflectional Analyzer" has been published in Iranian Journal of Information Processing and Management.
March 03, 2021
- Our paper, "Business Intelligence Key Performance Indicators for Elearning at University of Tehran" has been accepted in Proc. 8th International and 14th National Conference on e-Learning and e-Teaching.
April 01, 2021
- Our paper, "Predicting and Correcting Missing Data on Diffusion Processes in Multiplex Networks" has been accepted in Journal of Nonlinear dynamics, psychology, and life sciences.
February 25, 2021
- Mr Mohammad Tahamtan successfully defended his Msc thesis entitled "Real-time Anomaly Detection in the Internet of Things Big Data Streams".
December 10, 2020
- Our paper, "Anomaly Detection in Heterogeneous Information Networks" has been accepted in Proc. 2nd National Informatics Conference of Iran.
October 18, 2020
- Ms. Faezeh Dehghan successfully defended her Msc thesis entitled "An Efficient Lightweight Blockchain for Decenteralizing IoT".