Exploring content-actor paired network data using iterative query refinement with NetLens

TitleExploring content-actor paired network data using iterative query refinement with NetLens
Publication TypeConference Papers
Year of Publication2006
AuthorsLee B, Kang H, Plaisant C, Bederson BB
Conference NameDigital Libraries, 2006. JCDL '06. Proceedings of the 6th ACM/IEEE-CS Joint Conference on
Date Published2006/06//
Keywordsdata, interface, libraries;query, management, model;data, models;data, NetLens;content-actor, network, pair, processing;user, query, refinement;data, retrieval;iterative, systems;, visualisation;digital, visualization;information
Abstract

Networks have remained a challenge for information retrieval and visualization because of the rich set of tasks that users want to accomplish. This paper demonstrates a tool, NetLens, to explore a content-actor paired network data model. The NetLens interface was designed to allow users to pose a series of elementary queries and iteratively refine visual overviews and sorted lists. This enables the support of complex queries that are traditionally hard to specify in node-link visualizations. NetLens is general and scalable in that it applies to any dataset that can be represented with our abstract content-actor data model

DOI10.1145/1141753.1141868