Social isolation is caused by the impoverishment of community (atomism) and fragmentation is caused by the enlargement of in-group (mobism), both of which can be viewed as social problems related to communication. To solve these problems, the philosophical world has proposed the concept of "mixbiotic society," in which individuals with freedom and diverse values mix and mingle to recognize their respective "fundamental incapability" each other and sublimate into solidarity. Based on this concept, this study proposes new mixbiotic society measures to evaluate dynamic communication patterns with reference to classification in cellular automata and particle reaction diffusion that simulate living phenomena. Specifically, the hypothesis of measures corresponding to the four classes was formulated, and the hypothesis was validated by simulating the generation and disappearance of communication. As a result, considering communication patterns as multidimensional vectors, it found that the mean of Euclidean distance for "mobism," the variance of the relative change in distance for "atomism," the composite measure that multiplies the mean and variance of cosine similarity for "mixism," which corresponds to the well-going of mixbiotic society, and the almost zero measures for "nihilism," are suitable. Then, evaluating seven real-society datasets using these measures, we showed that the mixism measure is useful for assessing the livingness of communication, and that it is possible to typify communities based on plural measures. The measures established in this study are superior to conventional analysis in that they can evaluate dynamic patterns, they are simple to calculate, and their meanings are easy to interpret. As a future development, the mixbiotic society measures will be used in the fields of digital democracy and platform cooperativism toward a desirable society.

翻译：社会隔离源于社区贫困化（原子主义），而碎片化源于内部群体膨胀（群氓主义），这两者均可视为与交流相关的社会问题。为解决这些问题，哲学界提出了"混合共生理社会"概念，即拥有自由与多元价值的个体相互混合交融，通过认知彼此的"根本无能性"升华至团结。基于此概念，本研究提出新的混合共生理社会度量方法，通过参照模拟生命现象的细胞自动机与粒子反应扩散系统中的分类方法，评估动态交流模式。具体而言，我们构建了对应四类模式的度量假设，并通过模拟交流的产生与消亡验证该假设。结果表明：将交流模式视为多维向量时，对应"群氓主义"的欧氏距离均值，“原子主义”的距离相对变化方差，对应混合共生社会良性发展的"混合主义"复合度量（余弦相似度均值与方差之积），以及对应"虚无主义"的近乎零度量均具有适用性。通过应用这些度量评估七个真实社会数据集，我们验证了混合主义度量在评估交流生命力方面的效用，并证明可通过复合度量对社区进行类型划分。本研究所确立的度量相较于传统分析方法具有显著优势：可评估动态模式、计算简便且结果易于解释。未来可将混合共生理社会度量应用于数字民主与平台合作主义领域，助推理想社会的实现。