{"repo":"aleksbobic/csx","free":true,"listed":false,"github":"https://github.com/aleksbobic/csx","clone":"git clone https://github.com/aleksbobic/csx.git","description":"Collaboration Spotting X - A network-based information retrieval and visual-analytics application","language":"JavaScript","stars":50,"topics":["information-retrieval","data-visualization","data-visualisation","graph-visualization","graph-visualisation","network-visualization","network-visualisation","graph-analysis","graph-analytics","network-analysis"],"license":"MIT","category":"analytics","readme_excerpt":"COLLABORATION SPOTTING X Collaboration spotting X (CSX) is a network-based visual-analytics application for exploring tabular data through network visualizations, interactions, and advanced network analytics. The main aim of CSX is to enable users to retrieve a subset of their dataset and provide tools for visual and interactive exploration and filtering of their retrieved data in a network format. You can read more about the project on csxp.me. About & History 📖 This project was developed by Aleksandar Bobić as part of his PhD research during his time as a doctoral student at CERN and the Graz University of Technology under the supervision of his CERN supervisor Jean-Marie Le Goff and his TU Graz supervisor Christian Gütl . This project was inspired by concepts introduced in the previous Collaboration Spotting project. We would like to thank the previous Collaboration Spotting team for their contributions. Contact ✉️ If you would like to collaborate or contribute to the project or have any questions feel free to send me an email to contact@abobic.com. Involved institutions 🏫 Contributors from the following institutions were involved in the development of this project: CERN Graz University of Technology CITATION ✍️ If you happen to mention or use this project as part of one of your scientific works, please cite the following paper: Bobic, A., Le Goff, JM., Gütl, C. (2023). Exploring Tabular Data Through Networks. In: , et al. Advances in Information Retrieval. ECIR 2023. Le","default_branch":null,"files":null,"tree":[],"storefront":"/r/aleksbobic","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/aleksbobic/csx/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}