An algorithm for drawing general undirected graphs
Information Processing Letters
Concept decompositions for large sparse text data using clustering
Machine Learning
Self-Organizing Maps
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Force-transfer: a new approach to removing overlapping nodes in graph layout
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ontology evaluation using wikipedia categories for browsing
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
What's in Wikipedia?: mapping topics and conflict using socially annotated category structure
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Measuring self-focus bias in community-maintained knowledge repositories
Proceedings of the fourth international conference on Communities and technologies
On the "localness" of user-generated content
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualizing activity on wikipedia with chromograms
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
An interactive exploration system that visually supports learning of country features
Proceedings of the 11th International Conference on Interaction Design and Children
Visualizing large-scale human collaboration in Wikipedia
Future Generation Computer Systems
Hi-index | 0.00 |
Wiki are popular platforms for collaborative editing. In volunteer-driven wikis such as Wikipedia, which attracts millions of authors editing articles on a diverse range of topics, contributors' editing activity results in certain semantic coverage of topic areas. Obtaining an understanding of a given wiki's semantic coverage is not easy. To solve this problem, we have devised a method for visualizing a wiki in a way similar to a geographic map. We have applied our method to Wikipedia, and generated visualizations for several Wikipedia language editions. This paper presents our wiki visualization method and its application.