Social Computing

Established: July 17, 2016

Groups doing social computing research include:



Social Computing – MSR Asia

Established: July 1, 2015

In the Social Computing Group of Microsoft Research Asia (MSRA), we engage in interdisciplinary research which intersects computer science with social science, psychology and cognitive science. Based on large scale human behavioral data on various heterogeneous social platforms, we aim to gain an in depth understanding of users and provide them with intelligent and personalize online experience. Our current research focus is on user modeling, recommendation system, spatio-temporal data mining, graph data mining, emotion analysis,…


DiPsy: A digital psychologist

Established: March 14, 2016

One out of four people in the world have experienced mental illness at some point in their lives. DiPsy is a digital psychologist presented as a personalized chatbot, who can evaluate, diagnose, treat and study users' mental processes through natural conversations. The key skills of DiPsy include: Driving the conversation in a natural and effective way to let users vent out as much as possible. Studying the mental processes of users to diagnose psychological traits…

Colla: a Digital Collaborator Seeker

Established: March 1, 2016

Colla, abbreviation of “Collaboration Bot”, is a bot who can help people collaborate with their colleagues in a more convenient way. Colla could find the right person with a particular expertise and arrange online discussions among users. In a corporation, Colla could facilitate collaboration, especially among different groups, and improve work efficiency and productivity. Colla includes three core components – user profiling, expert finding and online meeting. For user profiling, Colla uses both implicit (project, publication,…

DIOSI: Dynamics of intimacy from online social interactions

Established: March 1, 2014

Friendships are dynamic. In this project, we uncover the dynamics of tie strength and online social interactions in terms of various aspects, such as reciprocity, temporality, and contextually. Based upon these dynamics, we build a learning to rank framework to predict social interactions in online social networks. Dynamics of tie intimacy Reciprocity—Whether the tie strength is reciprocal. Temporality—How the tie strength evolve over an extended period Contextuality—How the tie strength changes based upon contexts such…

LifeSpec: Learning the Spectrum of Urban Lifestyles

Established: December 1, 2012

Recent years have witnessed growing availability of human behavioral data, which provides us unprecedented opportunities to gain more in depth understanding of users in both the physical world and cyber world. In this project, we aim to develop computational models for learning individual's lifestyle specification and lifestyle spectrum of a community from heterogeneous networks. LifeSpec is also a data platform enabling our various research projects in mobile user understanding. Overview http://mobius/lifespec/ (MS internal) An incisive understanding…