NusEye: Visualizing Network Structure to Support Navigation of Aggregated Content
- 1 April 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The application of social network analysis techniques, along with graph visualization and interaction, for navigating syndicated web content, a.k.a webfeeds, is presented. Within a webfeed aggregator, a judicious choice of networks and network information can highlight relationships between individual content items and content sources. A key contribution is to apply network analysis to content item and content source relationships in addition to analysis of traditional human networks. Presenting these relationships can improve scannability and prevent source stagnation in content aggregators. This aids in reducing information overload and improving information quality. Three social networks are exploited to generate interactive graphs in particularly useful visual styles. The results of a small initial user study are also presented indicating initial promise for our approach.Keywords
This publication has 19 references indexed in Scilit:
- Discourse diagrams: interface design for very large-scale conversationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Information diffusion through blogspacePublished by Association for Computing Machinery (ACM) ,2004
- Newsgroup Crowds and AuthorLines: visualizing the activity of individuals in conversational cyberspacesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Wallop: designing social software for co-located social networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Social Translucence: Using Minimalist Visualisations of Social Activity to Support Collective InteractionPublished by Springer Nature ,2003
- Retrieving News Stories from a News Integration ArchivePublished by Springer Nature ,2002
- Social translucenceCommunications of the ACM, 2002
- TimeMine (demonstration session)Published by Association for Computing Machinery (ACM) ,2000
- Very large two-level SOM for the browsing of newsgroupsPublished by Springer Nature ,1996
- Galaxy of newsPublished by Association for Computing Machinery (ACM) ,1994