Abstract
Crowdsourcing systems recruit a group of people to solve a problem, and have become an emerging area and ideal test-bed to study the collaboration patterns and organizational structure of social groups. In this paper, we present the early-stage of our efforts in constructing a hybrid simulation model of crowd-powered search behavior, in which a large number of Web users voluntarily form groups to find the identity of a person or the truth of an event through both online and offline collaborations. The proposed model is able to simulate the dynamics of group sizes and roles of participants, and the accumulation of knowledge over time. Then, we evaluate the strengths and limits of the model, and the propose methods to link the model to multitude real-world data. The paper is concluded with discussions of future research.
| Original language | English |
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| Publication status | Published - 16 May 2014 |
| Event | Spring Conference on Systems Engineering and Management Science 2014 - Shenzhen, China Duration: 16 May 2014 → 17 May 2014 |
Conference
| Conference | Spring Conference on Systems Engineering and Management Science 2014 |
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| Place | China |
| City | Shenzhen |
| Period | 16/05/14 → 17/05/14 |