複数の分析関心に基づく社会シミュレーション・ログの階層的分類と可視化手法

抄録

The simulations of complex social systems involving diverse stakeholders can be evaluated from multiple analytical interests. In this paper, we propose a method to classify social simulation logs hierarchically along with multiple analytical interests and visualize them based on the frequency of classification results. The proposed method introduces the concept of cladistic phylogeny and classifies social simulation logs hierarchically, in such a way as to classify species. In the proposed method, analysts make a hierarchical classification diagram of social simulation logs called a possibility cladogram and understand the frequency of possible results from the viewpoint of analytical interests intuitively. We applied the proposed method to Schelling's segregation model. We confirmed that the proposed method helps intuitively understand the frequency of possible results from the viewpoint of analytical interests and also give assistance to run efficient microdynamics analysis by referring to the classification result of simulation logs on the possibility cladogram. We evaluated the proposed method from two perspectives: realization of visualization benefits corresponding to usefulness and validity as a visualization method.