Glidgets

Contributors

Brittany Kondo, Christopher CollinsHrim Mehta

Abstract

Dynamic graphs, actively used domains such as social, biological, or computer network analysis, are challenging to visualize and explore due to simultaneous topological changes occurring over time. Glidgets presents a new combined direct manipulation and visualization technique for exploring and querying dynamic graphs. Traditional approaches provide an indirect time slider and employ visual cues such as global change highlighting. This work merges temporal navigation and the visual representation of graph dynamics into new interactive visual glyphs on nodes and edges. Interactive timeline glyphs reveal the presence and absence of nodes and edges, and node degree. Using sketch-based interaction, the glyphs are used to create queries and navigate time directly on graph nodes and edges. This enables one-stroke gestures to create queries such as “Are these nodes ever connected?” or “When is this node present in the network?” Analysts can directly query changing graph elements and investigate those changes by navigating time, while remaining focused on the element of interest.

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Publications

  • B. Kondo, H. Mehta, and C. Collins, “Glidgets: Interactive Glyphs for Exploring Dynamic Graphs,” Proc. of IEEE Conf. on Information Visualization (InfoVis), 2014. Best Poster Award.
    [Bibtex] [PDF]
    @poster{Kon2014c,
    author = {Brittany Kondo and Hrim Mehta and Christopher Collins},
    title = {Glidgets: Interactive Glyphs for Exploring Dynamic Graphs},
    venue = {Proc. of IEEE Conf. on Information Visualization (InfoVis)},
    note = {Best Poster Award},
      series =   {Poster},
    address = {Paris, France},
    year = 2014
    }

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Acknowledgements

Research

Detecting Negative Emotion for Mixed Initiative Visual Analytics

EduApps – Supporting Non-Native English Speakers to Overcome Language Transfer Effects

Metatation: Annotation as Implicit Interaction to Bridge Close and Distant Reading

DataTours: A Data Narratives Framework

Perceptual Biases in Font Size as a Data Encoding

Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework

Abbreviating Text Labels on Demand

NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations

ConToVi: Multi-Party Conversation Exploration using Topic-Space Views

PhysioEx: Visual Analysis of Physiological Event Streams

Using Visual Analytics of Heart Rate Variation to Aid in Diagnostics

Off-Screen Desktop

PivotSlice

Reading Comprehension on Mobile Devices

#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media

Optimizing Hierarchical Visualizations with the Minimum Description Length Principle

Lexichrome

SentimentState: Exploring Sentiment Analysis on Twitter

Facilitating Discourse Analysis with Interactive Visualization

DimpVis

Glidgets

TandemTable

Simple Multi-Touch Toolkit

Exploring Text Entities with Descriptive Non-photorealistic Rendering

Investigating the Semantic Patterns of Passwords

Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations

Parallel Tag Clouds to Explore Faceted Text Corpora

VisLink: Revealing Relationships Amongst Visualizations

DocuBurst: Visualizing Document Content using Language Structure

Tabletop Text Entry Techniques

Lattice Uncertainty Visualization: Understanding Machine Translation and Speech Recognition

WordNet Visualization

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