  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.
