The Relative Contributions of Traits and Contexts on Social Network Learning.

ABSTRACT: Navigating the social world is guided by remembering which people know each other. Yet, different factors might influence how social relationships are remembered, where people's shared attributes could distort a social network's mnemonic representation. Here, we study whether dyadically shared contexts and personality traits impact how people remember relationships in social networks. Through varying levels of network topological complexity, we find the contexts where people know each other are most memorable and that better contextual retrieval predicts relationship recall. In contrast, shared personality traits affect relationship recall differently depending on social network complexity, where shared negatively valenced traits relate to worse relationship recall in the simple network. S

SUBMITTER: Ghouse A 

PROVIDER: S-EPMC12483571 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature