Sociologist by heart | Software Dev by code | Cultural Detective by day | Urban Explorer by night
¡Viva la revolución digital!
Welcome to my GitHub — a space where computational social science collides with data science, AI, and a whole lot of urban culture! I'm Angel Abundis, your friendly neighborhood sociologist, software faux-hacker, and graffiti aficionado. My work merges sociology with code, using data to explore, analyze, urban stories hidden in plain sight. Here, you’ll find projects that dive deep into graffiti, urban movements, and social networks, using computational tools to make sense of social and cultural patterns. I am committed to using computational tools to address complex social issues.
Master of Communication Studies
Universidad de Guadalajara, 2024
- Thesis: "Visualization of a Hypertextual Interaction Field in the Form of a Graph: Case Study Graffiti on Freight Trains in North America"
- Technologies: Python, MySQL, SigmaJS, Graphology
- CONACYT Scholarship (2020-2022)
Bachelor's in Sociology
Universidad de Guadalajara, 2019
- Thesis: "Graffiti is Dead - Sociohistorical Approach to Graffiti in Guadalajara"
- Technologies: PHP, WordPress, Voyant Tools
- Selected Project in Colaboratorio Transmedia - Ambulante Film Festival, 2016
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Instagram Mining Data Bot (idmb)
- Description: A Python bot for extracting and analyzing hypertextual conversations on Instagram related to graffiti and urban culture.
- Technologies: Python, Instagrapi, MySQL
- GitHub - idmb
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Data Visualization Interface (DVI)
- Description: A tool for visualizing and analyzing thematic hashtag networks using Graphology and SigmaJS.
- Technologies: JavaScript, SigmaJS, Graphology
- Demo - DVI
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Amoxeh
- Description: A WordPress plugin for analyzing newspaper articles about graffiti and social phenomena in Guadalajara.
- Technologies: PHP, MySQL, JavaScript
- Demo - Amoxeh
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Graffiti Detection OD TensorFlow
- Description: A TensorFlow-based tool for identifying graffiti styles and objects. It integrates SQL databases and FTP for streamlined image processing and result storage.
- Technologies: Python, TensorFlow, SQL
- GitHub - Graffiti Detection
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Hashtag Custom NER spaCy
- Description: A powerful tool for analyzing hashtags with a focus on graffiti, urban culture, and location-based data.
- Technologies: SpaCy, Geonamescache, Python
- GitHub - Hashtag Custom NER
- Abundis, A. & Lopez, C. (2022). "Freight Graffiti: A Transnational Symbolic Circulation Circuit Hidden in the Margins of Train Tracks." In Jóvenes, significaciones y escenarios de riesgo: experiencias y narrativas diversas, 117-134.
- Abundis, A. (2024). "Tagging the Writer’s Trace: How Computational Social Science Shaped (my) Freight Graffiti Research." Graffiti and Street Art Journal, 1(2).
- Abundis, A. (2023). "Mining, Shaping, Visualizing, and Interpreting Instagram Hypertextual Networks of Freight Train Graffiti Communalities." UXUC-User Experience and Urban Creativity, 5(2).
For more publications, check my Google Scholar.
- FOSDEM 2024: "Node Reduction through AI Inferences using Graphology and SigmaJS: A Case Study on Freight Train Graffiti."
- Digital Humanities Conference 2023: "Machine Learning Classification Models in Network Graphing for Graffiti Communities."
- Urban Creativity Conference 2023: "Computational Social Science in Instagram Graffiti Conversations."
Visit my website for more talks and lectures!
- Recorriendo el Trazos - Interactive History of Graffiti in Guadalajara City
- Graffiti is Dead - Documentary
- Doculoco, Florencia 13 Lomas del Paraiso - Documentary
- Email: [email protected]
- LinkedIn: Angel J. Ramirez Abundis
- Portfolio: www.abundis.com.mx