Visualization of a Hypertextual Interaction Field in the Form of a Network Graph Using Computational Processes. Case Study: Graffiti on Freight Trains in North America

Universidad de Guadalajara - Master of Communication Studies, 2024

• Coded idmb and DVI to visualize hashtag thematic networks, their users and content. Data was mined and analyzed to map graffiti styles, locations, and social connections across borders, complemented by fieldwork and interviews.
  • Thesis: “Visualization of a Hypertextual Interaction Field in the Form of a Network Graph Using Computational Processes. Case Study: Graffiti on Freight Trains in North America”
  • Theory: Mass media theories (Thompson, 1999), Participatory culture (Jenkins, 2012) – Methodologies: Ethnography, In-depth Interviews, Network analysis.
  • CONACYTH Scholarship, 2020-2022.