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Graph-Based Crowd Definition for Assessing Wise Crowd Measures

机译：基于图表的人群定义，用于评估智慧人群措施

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Research in the field of collective intelligence is currently focused mainly on determining ways to provide a more and more accurate prediction. However, the development of collective intelligence requires a more formal approach. Thus the natural next step is to introduce the formal model of collective. Many scientists seem to see this need, but available solutions usually focus on narrow specialization. The problems within the scope of collective intelligence field typically require complex models. Sometimes more than one model has to be used. This paper addresses both issues. Authors introduce graph-based meta-model of collective that intend to describe all collective's properties based on psychological knowledge, especially on Surowiecki's work. Moreover, we introduced the taxonomy of metrics that allow assessing the qualitative aspects of crowd's structure and dynamics.
机译：目前集体智能领域的研究主要集中在确定提供越来越准确的预测的方法上。然而，集体智能的发展需要更正式的方法。因此，自然的下一步是介绍集体的正式模型。许多科学家似乎看到了这种需要，但可用的解决方案通常专注于狭隘的专业化。集体智能领域范围内的问题通常需要复杂的模型。有时必须使用多个模型。本文解决了这两个问题。作者介绍了基于图形的集体模型，意图根据心理知识描述所有集体的属性，特别是在Surowiecki的工作中。此外，我们介绍了指标的分类，允许评估人群结构和动态的定性方面。

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