Knowledge Aggregation in Human Flesh Search

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.