Social & Information Systems

Social computing research at MPI-SWS focuses on developing computational methods for processing and analyzing large scale social data, aiming to uncover complex social behavior and to inform the design of human-centered and socially aware systems. Recent research has focussed on understanding the structure of social networks and dissemination of information, ideas, and influence over social links, finding relevant and trustworthy sources of information in crowds. and developing frameworks for tracking the relation between a user and its community.


Krishna Gummadi and Peter Druschel win ACM SIGCOMM test-of-time award

July 2017
MPI-SWS researchers have received the SIGCOMM Test of Time Award for their 2007 paper on "Measurement and Analysis of Online Social Networks."

Adish Singla to joins MPI-SWS as tenure-track faculty

June 2017
Adish's research is on developing new machine learning frameworks and algorithmic techniques, particularly for situations where people are an integral part of computational systems.

Best Paper Award Honorable Mention at WWW '17

April 2017
The MPI-SWS paper "Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate" received a Best Paper Award Honorable Mention at WWW 2017.

Five MPI-SWS papers accepted at WWW '17

December 2016
Five papers from MPI-SWS have been accepted to WWW 2017, which will take place in Perth, Australia in April 2017.

Two MPI-SWS papers accepted at WSDM'17

October 2016
The 10th International Conference on Web Search and Data Mining took place in Cambridge (UK) in February 2017.