Seminar by Shriram Revankar
Analysing social communities
Shriram Revankar
Head, Adobe Research Labs, India
Date: Wednesday, August 14th, 2013
Time: 12:00 Noon
Venue: CS102.Abstract:
We analyse Social Community for learning and predicting their online behaviour. Community reactions such as commenting, liking, sharing, re-tweeting, responding etc. are observable and explicit. These reactions are often influenced by the content of the post. However, we also notice that the reactions are often affected by factors such as events occurring external to the community, geo location of the content, length of the post, author of the post, etc. There are other community behaviours that are implicit and not directly observable e.g. formation of sides, subgroups, leaders, influencers and detractors. These implicit behaviours essentially perturb the social graph in response to a post or external stimuli. I will briefly describe our research efforts in predicting and using these online behaviours through analysis of social data (Facebook, twitter and blogs data).
About the speaker:
Dr. Shriram Revankar is the Head of Adobe Research Labs, India. Previously he was with Xerox Corporation, where he was a Xerox Fellow. He had served Xerox in various capacities including as the head of Smart Document Systems Lab and as the Chief architect of the Production Solutions and Services business. In his current capacity Shriram is focused on developing world class competency in social network analysis, data mining and big-data analytics, natural language processing, knowledge management, machine learning and related areas at the Adobe Research Labs. Shriram has a M.S. and Ph.D. in Computer Science from SUNY Buffalo, and his research interests span smart & adaptive systems, computer vision & image processing, and analysis of social networks & big data.