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An information platform for social relationshipsA way to handle human social bonds with Web3 technologies 
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Our aim is to create a system that allows anyone, even those without specialized knowledge, to understand their social relationships easily and safely. In this exhibition, we demonstrate a framework that securely visualizes an individual's social relationships. In the proposed framework, data on the temporal characteristics of a person's social media interactions are extracted and stored in a decentralized way using Web3 technology. By utilizing the stored data, a user of this framework can leverage the dynamic patterns in these interactions to visualize her/his social relationships. The proposed framework simplifies the handling of intricate and dynamically changing human relationships, paving the way for personalized social relationships tailored to each individual. By supporting the autonomous formation of social bonds that contribute to well-being, we believe our system will foster novel local community structures and/or diversified family practices.
[1] J. Kishigami, S. Ohashi, N. Maeda, S. Fujimura, A. Nakadaira, “An Analysis Between SNS and Social Capital Types in Japan,” in Proc. Human Choice and Digital by Default: Autonomy vs Digital Determination (HCC 2022), 2022.
Kazushi Maruya, Sensory Representation Research Group, Human Information Science Laboratory