Skip to content
View abundis-rmn2's full-sized avatar

Block or report abundis-rmn2

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
abundis-rmn2/README.md

👾 Angel R. Abundis

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.


📚 Education - Cool, but Scholarly

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

🛠️ Social Developer - Making Code Talk

Key Tools and Projects

  1. 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
  2. Data Visualization Interface (DVI)

    • Description: A tool for visualizing and analyzing thematic hashtag networks using Graphology and SigmaJS.
    • Technologies: JavaScript, SigmaJS, Graphology
    • Demo - DVI
  3. Amoxeh

    • Description: A WordPress plugin for analyzing newspaper articles about graffiti and social phenomena in Guadalajara.
    • Technologies: PHP, MySQL, JavaScript
    • Demo - Amoxeh
  4. 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
  5. 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

📖 Selected Publications

  • 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.


🎤 Conferences and Talks - Let's Rock!

  • 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!


🎬 Multimedia Production - Culture, Graffiti, and Tech


🔗 Let’s Connect - Hit Me Up!


Pinned Loading

  1. Graffiti_Detection_OD_TensorFlow Graffiti_Detection_OD_TensorFlow Public

    Graffiti Detection uses TensorFlow to identify graffiti styles and objects, integrating SQL databases and FTP for streamlined image processing and result storage. Ready for Python CLI or Jupyter use.

    Jupyter Notebook 1

  2. Hashtag_Custom_NER_spaCy Hashtag_Custom_NER_spaCy Public

    A powerful tool for analyzing hashtags with a focus on graffiti, urban culture, and location-based data. This project utilizes libraries like SpaCy and Geonamescache to process and classify hashtag…

    Python 2

  3. idmb idmb Public

    The Instagram Data Mining Bot analyzes hypertextual conversations, mining interconnected discussions across posts, hashtags, and user interactions. It extracts insights from both the content and t…

    Python 4

  4. dvi dvi Public

    DVI (Data Visualization Interface) is a tool for managing and visualizing hashtag networks. It integrates mining tasks, data analysis, and customizable graph visualizations, with a unique MUID lin…

    JavaScript