Exploration of User Groups in VEXUS
Sihem Amer-Yahia, Behrooz Omidvar-Tehrani, Joao Comba, Viviane, Moreira, Fabian Colque Zegarra

TL;DR
VEXUS is an interactive visualization framework designed to help users explore complex user data, including demographics and actions, to discover insights, experts, and group behaviors efficiently.
Contribution
The paper introduces VEXUS, a novel visualization system that integrates advanced visualization and data indexing for effective user data exploration.
Findings
Enables efficient exploration of diverse user data.
Supports identification of experts and group behaviors.
Provides fast, relevant exploration recommendations.
Abstract
We introduce VEXUS, an interactive visualization framework for exploring user data to fulfill tasks such as finding a set of experts, forming discussion groups and analyzing collective behaviors. User data is characterized by a combination of demographics like age and occupation, and actions such as rating a movie, writing a paper, following a medical treatment or buying groceries. The ubiquity of user data requires tools that help explorers, be they specialists or novice users, acquire new insights. VEXUS lets explorers interact with user data via visual primitives and builds an exploration profile to recommend the next exploration steps. VEXUS combines state-of-the-art visualization techniques with appropriate indexing of user data to provide fast and relevant exploration.
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