Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people connect with each other—to better understand how people interact online. Using data from X, formerly Twitter, researchers probed the complex patterns of relationships and shared interests that link people together across the internet. In particular, they focused on elucidating how people form online communities, interact within those communities or leave them.
Researchers use machine learning and social network theory to identify formation patterns in digital forums
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