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.


MPI-SWS paper accepted into WSDM '18

November 2017
A paper from MPI-SWS has been accepted at WSDM '18, one of the flagship conferences in data mining.

MPI-SWS paper accepted into NIPS '17

September 2017
A paper from MPI-SWS has been accepted to NIPS 2017, the flagship conference in machine learning.

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 join 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.


An Empirical Analysis of Facebook's Free Basics.

Siddharth Singh, Vedant Nanda, Rijurekha Sen, Sohaib Ahmad, Satadal Sengupta, Amreesh Phokeer, Zaid Ahmed Farooq, Taslim Arefin Khan, Ponnurangam Kumaraguru, Ihsan Ayyub Qazi, David R. Choffnes, Krishna P. Gummadi.
SIGMETRICS (Abstracts) 2017.