Vector Label Propagation (VLP) is a machine learning technique used for tasks like semi-supervised learning and graph-based analysis. It is valuable in various fields, including social network analysis and recommendation systems, where each data point has multiple attributes. This paper discusses the development of a web application aimed at demonstrating the Agent-based vector-label propagation algorithm's (AVPRA) operation. Prior to this application, AVPRA execution and visualization were challenging for non-experts, relying on scripts. The web app offers a user-friendly, graphical interface, enabling real-time tracking and transparent visualization of the algorithm's iterations.

A web application to demonstrate the properties of Label Propagation algorithms / P. Ceravolo, S. Maghool, A.G. Talpalaru (CEUR WORKSHOP PROCEEDINGS). - In: CoopIS-D 2023 : CoopIS Demonstration Track 2023 / [a cura di] F. Mannhardt, N. Assy. - [s.l] : CEUR-WS, 2023. - pp. 16-20 (( convegno CoopIS tenutosi a Groningen nel 2023.

A web application to demonstrate the properties of Label Propagation algorithms

P. Ceravolo;S. Maghool
;
2023

Abstract

Vector Label Propagation (VLP) is a machine learning technique used for tasks like semi-supervised learning and graph-based analysis. It is valuable in various fields, including social network analysis and recommendation systems, where each data point has multiple attributes. This paper discusses the development of a web application aimed at demonstrating the Agent-based vector-label propagation algorithm's (AVPRA) operation. Prior to this application, AVPRA execution and visualization were challenging for non-experts, relying on scripts. The web app offers a user-friendly, graphical interface, enabling real-time tracking and transparent visualization of the algorithm's iterations.
Agent-based simulation; Social Network Analysis; Vector Label propagation; Web Application
Settore INFO-01/A - Informatica
2023
https://ceur-ws.org/Vol-3552/paper-4.pdf
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1195038
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