The social computing group is developing computational methods for processing and analyzing large scale social data, aiming to understanding complex social behavior and to inform the design of human-centered and socially aware systems. In recent research we studied the emergence of conventions in Twitter, we developed methods for preventing spam in social networks, and we proposed a framework for tracking the relation between a user and its community.
Extracting Situational Information from Microblogs during Disaster
Events: A Classification-Summarization Approach (to appear)
Koustav Rudra, Subham Ghosh, Niloy Ganguly, Pawan Goyal, and Saptarshi Ghosh. ACM International Conference on Information and Knowledge Management (CIKM), 2015.
Reverse Engineering Socialbot Infiltration Strategies in the Twitter
Social Network (to appear)
Carlos Freitas, Fabricio Benevenuto, Saptarshi Ghosh, and Adriano Veloso. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2015.
Fairness Constraints: A Mechanism for Fair Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez and Krishna P. Gummadi. Workshop on Fairness, Accountability and Transparency in Machine Learning, 32nd International Conference on Machine Learning (ICML), 2015.
Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream
Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, and Saptarshi Ghosh. ACM Transactions on the Web (TWEB), Volume 9, Issue 3, 2015.
Characterizing Information Diets of Social Media Users
Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi, and Saptarshi Ghosh. International Conference on Weblogs and Social Media (ICWSM), 2015.
The Many Shades of Anonymity: Characterizing Anonymous Social Media Content
Denzil Correa, Leandro Araújo Silva, Mainack Mondal, Fabrício Benevenuto and Krishna P. Gummadi. International Conference on Weblogs and Social Media (ICWSM), 2015.
On the Users' Efficiency in the Twitter Information Network
Mahmoudreza Babaei, Przemyslaw Grobowicz, Isabel Valera, Krishna Gummadi, Manuel Gomez Rodriguez. International Conference on Weblogs and Social Media (ICWSM), Short Paper, 2015.
#FewThingsAboutIdioms: Understanding Idioms and its Users in the Twitter Online Social Network
Koustav Rudra, Abhijnan Chakraborty, Manav Sethi, Shreyasi Das, Niloy Ganguly and Saptarshi Ghosh. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015.
Inferring User Interests in the Twitter Social Network
Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh and Krishna Gummadi ACM Recommender System Conference (RecSys), Short Paper, 2014.
People on Drugs: Credibility of User Statements in Health Communities
Subhabrata Mukherjee, Gerhard Weikum and Cristian Danescu-Niculescu-Mizil ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014.
Towards Detecting Anomalous User Behavior in Online Social Networks
Bimal Viswanath, Muhammad Ahmad Bashir, Mark Crovella, Saikat Guha, Krishna Gummadi, Balachander Krishnamurthy and Alan Mislove Usenix Security Symposium, 2014.
Understanding and Specifying Social Access Control Lists
Mainack Mondal, Yabing Liu, Bimal Viswanath, Krishna P. Gummadi and Alan Mislove Symposium on Usable Privacy and Security (SOUPS), 2014.
Distinguished paper award
Complete list of publications.