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| Title | Tsundoku: A Python Toolkit for Social Network Analysis |
| Authors | Eduardo Graells, Nicolás García, Andres Carvallo |
| Publication date | February 2025 |
| Abstract |
Tsundoku is a Python toolkit for analyzing social media data, focusing on text and network analysis. It offers user classification, bot detection, community identification, and topic modeling, with an active learning component to improve model accuracy. Tsundoku generates detailed reports with visualizations, making it accessible to researchers across disciplines. By streamlining the analysis pipeline from data collection to insight generation, Tsundoku helps researchers tackle the challenges of large-scale social media data analysis. |
| Pages | article 102008 |
| Volume | 29 |
| Journal name | SoftwareX |
| Publisher | Elsevier Science (Amsterdam, The Netherlands) |
| Reference URL |
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