Analysis and Modeling of Crowdsourcing Systems
DescriptionDespite the rapid growth of research on online social communities, the research on the structural and dynamical patterns of crowds motivated by accomplishing common tasks through the collaboration on the Internet , namely crowdsourcing, has been limited to anecdotal case studies. This project aims to analyze and model crowdsourcing systems as social networks based on real data collected from online social media. With novel statistics and graph mining algorithms, we will unveil the unique topological properties of crowdsourcing systems. A set of behavioral and sociological theories will be verified with real-world data. Models will be proposed to simulate dynamics of crowdsourcing systems. The results will shed light on a n in-depth understanding of the patterns of people collaborating on the Internet, and how to design better crowdsourcing systems to facilitate the collaboration and increase the effectiveness and efficiency of crowds.
|Effective start/end date||1/04/14 → 25/10/17|