Cyberspace geography visualization

Table of contents

Abstract
Résumé
Ubersicht
Extended abstract
Preface
Table of contents
1. - Introduction
2. - Problem model
2.1 - Cyberspace representation
2.1.1 - Representation with a graph
2.1.2 - Spatial representation
2.2 - Visualization media representation
2.3 - Mapping cyberspace over a visualization media
2.3.1 - Mapping
2.3.2 - Morphisms
2.3.3 - Metrics
2.3.4 - Characteristics mapping
3. - Solution model
3.1 - Information gathering
3.1.1 - Exploration strategy
3.1.2 - Adjacency matrix construction
3.1.3 - Distance matrix construction
3.2 - Mapping
3.2.1 - Metric multidimensional scaling
3.2.2 - Non-metric multidimensional scaling
3.2.3 - Self-organizing maps
3.3 - Landscape representation
3.3.1 - Unified matrix method
3.3.2 - Visualization
4. - Results
4.1 - Datasets
4.2 - Maps
4.3 - Usability
5. - Possible enhancements
5.1 - Improved search strategy
5.2 - Use of different metrics
5.3 - Quality of the mapping
5.4 - Improved visualization
5.5 - Three-dimensional visualization
5.6 - Improved user interface
5.7 - Parallel implementation
6. - Conclusion
Glossary
CGI
Cyberspace
Dimension
Distance
HTML
HTTP
Internet
Geodesic
Geography
Graph
Hypermedia
Hypertext
Lost-in-cyberspace
Map
Mapping
Metric
MIME
MOO
Morphism
Neural network
NNTP
Pixel
RGB color model
Self-organizing maps
SGML
Somatotopic map
Space
Structure
TCP
Tonotopic map
Topology
Unified matrix method
URL
Visualization
VRML
World-Wide Web
World-Wide Web project
Bibliography
Philosophy
Cyberspace
World-Wide Web
Software agents
Measurement
Geography
System thinking
Mathematical modelling
Social network analysis
Graph theory
Graph drawing
Placement
Multidimensional scaling
Neural networks
Self-organizing maps
Clustering techniques
Optimization techniques
Parallel computing
Computational complexity
Visualization
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A. - Information gathering and the World-Wide Web
B. - Statistics of the datasets
Cyberspace geography visualization - 15 October 1995

Luc Girardin, The Graduate Institute of International Studies