On spreading recommendations via social gossip
Proceedings of the twentieth annual symposium on Parallelism in algorithms and architectures
Towards understanding: a study of the SourceForge.net community using modeling and simulation
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Collective Intelligence in Action
Collective Intelligence in Action
Towards a model of understanding social search
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Human Flesh Search Model Incorporating Network Expansion and GOSSIP with Feedback
DS-RT '09 Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications
Exploring iterative and parallel human computation processes
Proceedings of the ACM SIGKDD Workshop on Human Computation
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With the pervasive participation from the Chinese netizens in the cyberspace, the Human Flesh Search (HFS) is becoming a phenomenon profoundly affecting the public life in China. While hot debate and discussion arise, it is still not clear how the knowledge fragments are gathered by the netizens, and eventually merge to an answer in a HFS. This paper presents a first study to the knowledge aggregation in HFS. We formally present a normative knowledge aggregation model of the HFS. Simulation experiments have been conducted on several network topologies, with which the convergence feature and the gap between the elites and the crowd in a HFS are reconstructed.