@inproceedings{ad5fc2875f3f439aa36057f6b912d036,
title = "VISAGE: Interactive visual graph querying",
abstract = "Extracting useful patterns from large network datasets has become a fundamental challenge in many domains. We present VISAGE, an interactive visual graph querying approach that empowers users to construct expressive queries, without writing complex code (e.g., finding money laundering rings of bankers and business owners). Our contributions are as follows: (1) we introduce graph autocomplete, an interactive approach that guides users to construct and refine queries, preventing over-specification; (2) VISAGE guides the construction of graph queries using a data-driven approach, enabling users to specify queries with varying levels of specificity, from concrete and detailed (e.g., query by example), to abstract (e.g., with {"}wildcard{"} nodes of any types), to purely structural matching; (3) a twelve-participant, within-subject user study demonstrates VISAGE's ease of use and the ability to construct graph queries significantly faster than using a conventional query language; (4) VISAGE works on real graphs with over 468K.",
keywords = "Graph querying and mining, Interaction design, Visualization",
author = "Robert Pienta and Acar Tamersoy and Alex Endert and Shamkant Navathe and Hanghang Tong and Ch, {Duen Horng}",
note = "Publisher Copyright: {\textcopyright} 2016 Copyright held by the owner/author(s).; 13th ACM International Working Conference on Advanced Visual Interfaces, AVI 2016 ; Conference date: 07-06-2016 Through 10-06-2016",
year = "2016",
month = jun,
day = "7",
doi = "10.1145/2909132.2909246",
language = "English (US)",
series = "Proceedings of the Workshop on Advanced Visual Interfaces AVI",
publisher = "Association for Computing Machinery",
pages = "272--279",
editor = "Paolo Buono and Rosa Lanzilotti and Maristella Matera",
booktitle = "AVI 2016 - Proceedings of the 2016 International Working Conference on Advanced Visual Interfaces",
address = "United States",
}