  In recent years, the proliferation of social platforms has drastically
transformed the way individuals interact, organize, and share information. In
this scenario, we experience an unprecedented increase in the scale and
complexity of interactions and, at the same time, little to no research about
some fringe social platforms. In this paper, we present a multi-dimensional
framework for characterizing nodes and hyperedges in social hypernetworks, with
a focus on the understudied alt-right platform Scored.co. Our approach
integrates the possibility of studying higher-order interactions, thanks to the
hypernetwork representation, and various node features such as user activity,
sentiment, and toxicity, with the aim to define distinct user archetypes and
understand their roles within the network. Utilizing a comprehensive dataset
from Scored.co, we analyze the dynamics of these archetypes over time and
explore their interactions and influence within the community. The framework's
versatility allows for detailed analysis of both individual user behaviors and
broader social structures. Our findings highlight the importance of
higher-order interactions in understanding social dynamics, offering new
insights into the roles and behaviors that emerge in complex online
environments.
