Contextual synchronization for efficient social collaborations: A case study on Tweetpulse

Abstract

It is important to be aware of user contexts for supporting efficient collaborations among them. The goal of this paper is to present a social collaboration platform where we can understand i) how the user contexts are dynamically changing over time, and ii) how the user contexts are mixed with multiple sub-contexts together. Thereby, we have implemented TweetPulse, which is a a Twitter-based tool for context monitoring and propagation system in a given social network. TweetPulse can match contexts of the users (and integrate them) to find the most relevant users. Eventually, collaboration among users are contextually synchronized. by dynamically organizing a number of communities. A set of users in each community come together to share skills or core competencies and resources at the moment. We have shown the experimental results collected from a collaborative information searching system in terms of i) setting thresholds, ii) searching performance, and iii) scalability testing.