Model and simulation of collective collaboration article edit in wikipedia based on CAS theory
|Model and simulation of collective collaboration article edit in wikipedia based on CAS theory|
|Author(s)||Zhao D.-J., Wang H., Li D.-Y., Li Z., Zhao H.-L., Yang H.-T.|
|Published in||Shanghai Ligong Daxue Xuebao/Journal of University of Shanghai for Science and Technology|
|Keyword(s)||Collective collaboration article edit, Complex adaptive system (CAS), Golden section, Model and simulation, Web collective intelligence, Wikipedia|
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Model and simulation of collective collaboration article edit in wikipedia based on CAS theory is a 2012 journal article written in Chinese by Zhao D.-J., Wang H., Li D.-Y., Li Z., Zhao H.-L., Yang H.-T. and published in Shanghai Ligong Daxue Xuebao/Journal of University of Shanghai for Science and Technology.
Wikipedia users were classified into five agents, including content creator, content modifier, content cleaner, diverse editor and content visitor, and a collective collaboration article edit model was established based on the complex adaptive system theory. The multi-agent simulation of collective collaboration article edit was achieved by using Netlogo software based on the configuration of agent appearance probabilities of different quality articles. Simulation results show that diverse editor is an important driving force for the improvement of article quality; the bigger the appearance probability of diverse editors is, the higher the article quality is. The self-modifying behavior of editors plays an important role in promoting article quality. When the configuration of agent appearance probabilities follows the golden section law, the collectiveperformance can tend to be maximum. There exists a process from seesaw-like complementarity to dynamic balance between word quantity and word meaning, the critical point of balance is close to the golden section point, and the article edit evolution follows the golden section law. The research deepens the knowledge of article edit evolution, web collective intelligence and social computing.
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