  Social networks seeded, crystallized and structured by large-scale social
platforms like Facebook, LinkedIn, Slack, Twitter, WhatsApp, Instagram and
WeChat exhibit complicated epistemic structures and dynamics that arise from
the nature of interactive knowledge that users/participants possess, share and
shape. What users know about what other users know, about what other users know
they know, and so forth, plays an important role in channeling user behavior on
the platform as well as the structuring and dynamics of the social network the
platform engenders. We use a novel approach to characterize knowledge states
and flows in social networks, based on epistemic networks, or epinets, to study
the relationship between the structure of platforms and the structure of social
networks that form on them.
