Researchers map artworld influencers using social media and NLP

A new methodology has been developed to map the artworld's influencer network by analyzing social media data, specifically tweets from prominent art figures. This approach utilizes natural language processing (NLP) to identify key art world actors, even those not active on platforms like X. The identified actors are then grouped into communities using the Louvain method, and their influence is assessed with the HITS centrality method, revealing a comprehensive network that is difficult to compile through traditional means. AI

IMPACT This methodology could be adapted to map influence networks in other domains beyond the art world.

RANK_REASON The item is an academic paper detailing a new methodology for network construction. [lever_c_demoted from research: ic=1 ai=0.7]

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