{"id":170375,"date":"2009-12-03T01:26:26","date_gmt":"2009-12-03T09:26:26","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/social-networking-research-area\/"},"modified":"2017-06-16T15:56:22","modified_gmt":"2017-06-16T22:56:22","slug":"social-networking-research-area","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/social-networking-research-area\/","title":{"rendered":"Social Networking Research Area"},"content":{"rendered":"
<\/p>\n
We conduct research in the area of algorithms, systems, and services where user behaviour is a key factor \u2013 this includes algorithmic aspects, design of systems and services, and understanding of user behaviour. Our research is based on both theoretical and empirical methodologies including algorithm design, applied probability, game theory, systems approach, user studies, measurements and large-scale data mining.<\/p>\n
Design of new algorithms and understanding their performance is of outmost importance to best support development of new and existing applications and services – we design algorithms and evaluate their performance.<\/p>\n Development of new systems enables new services and creates business opportunities – we research how to best architecture systems in contexts that include mobile services and data centres.<\/p>\n Understanding the user behaviour is crucial for an informed design of viable systems and services – we gain insights through analysis of large-scale data sets and modelling.<\/p>\n\t<\/span><\/span>Algorithms<\/b><\/p>\n
<\/span><\/span>Systems<\/b><\/p>\n
<\/span><\/span>User Behaviour<\/b><\/p>\n