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Hierarchical Classification and Visualization Method of Social Simulation Logs Reflecting Multiple Analytical Interests

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.