Springer, 2006. — 326 p. — 2nd ed. — ISBN: 184628340X, 9781846283406
Information visualization is not only about creating graphical displays of complex and latent information structures. It also contributes to a broader range of cognitive, social, and collaborative activities. This is the first book to examine information visualization from this perspective. This 2nd edition continues the unique and ambitious quest for setting information visualization and virtual environments in a unifying framework.
Contents:
Foreword
Preface for the 2nd Edition
IntroductionA Roadmap of Information Visualization
Geographic Visualization
Abstract Information Visualization
Optimal Information Foraging
Exploring Cyberspaces
Social Interaction in Online Communities
Information Visualization Resources
Summary
Extracting Salient StructuresProximity and Connectivity
Clustering and Classification
Virtual Structures
Complex Network Theory
Structural Analysis and Modeling
Generalized Similarity Analysis
Summary
Graph Drawing AlgorithmsAn Overview
Drawing General Undirected Graphs
Examples of Graph Drawing
Graph Drawing Resources
Systems and ApplicationsTrees
Networks
Spatial Information Exploration
Focus _ Context
Visualizing Search Results
The Web and Online Communities
Commercial Systems
Online Resources
Summary
Knowledge Domain Visualization
Mapping Science
Author Co-citation Analysis
Tracking the Growth of Knowledge
Case Study: String Theory
Summary
Empirical Studies of Information VisualizationIntroduction
Meta-analysis
Preattentive and Elementary Tasks
Interacting with Trees
Interacting with Graphs
2D versus 3D
Cognitive Abilities
Summary
Virtual EnvironmentsSocial Dimensions of Information Spaces
Online Communities
The StarWalker Virtual Environment
Group Tightness
Summary
Detecting Abrupt Changes and Emerging TrendsThe Complexity of Abrupt Changes
Detecting Abrupt Changes
Topic Detection and Tracking
Visualizing Temporal Patterns
Intellectual Turning Points
Summary
Bibliography
Index