Understanding the coordination of attitudes in societies is vitally important for many disciplines and global social challenges. Network opinion dynamics are poorly understood, especially in hybrid networks where automated (bot) agents seek to influence economic or political processes (e.g. USA: Trump vs Clinton; UK: Brexit).
This ERC funded project is developing and validating a network theory of attitudes. This goes beyond simply trying to model attitude dynamics as information transfer to consider how networks of attitudes are generated through interaction, but then form symbolic stuctures that guide future interaction. This multilayer network structure offers a new functional metaphor for thinking about attitudes in societies.