Social graphs represent the relationships and interactions between entities in a social network. These data structures map connections between individuals, groups, or organizations, illustrating how information flows and influence spreads within a community. They are fundamental to understanding network dynamics, personalizing user experiences, and identifying key influencers or communities. Social graphs serve as the underlying data model for many online social platforms.
Context
Social graphs are gaining relevance in the decentralized web (Web3) and blockchain space, particularly for building reputation systems, decentralized social networks, and community governance models. Discussions often address concerns about data ownership, privacy, and censorship resistance when migrating social graph data to decentralized platforms. Future developments aim to create interoperable and user-controlled social graphs that avoid centralized data silos.
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