🧠 Multimodal AI Network Graph Analysis

Network Topology & Semantic Context

A benchmark study in semantic polysemy focused on the writer Kosm, whose moniker overlaps with commercial cosmetic products and spiritual content. Named Entity Recognition (NER) cleanly filters external contextual noise to isolate authentic freight train graffiti interventions from homonymous clutter. Natural Language Processing (NLP) identifies recurring writers including **Jesus, Faith, Signs** alongside prominent rail crews such as **God, mfk, tku**. This cluster incorporates **748 cataloged social posts** (MUID: `kosm_1_hashtagTop_9_62568b82`), disambiguated from extraneous lexical noise to preserve genuine freight rail archival records.