Summarization Meets Visualization on Online Social Networks
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on, 1, page 475-478. (August 2011)
Abstract
Getting an overview of a large online social net-work and deciding which communities to join is a challenging task for a new user. We propose a method that maps a large network into a smaller graph with two kinds of nodes: a node of the first kind is representative of a community, a node of the second kind is neighbor to a representative and rejects the semantics of that community. Our approach encompasses a learning and ranking algorithm that derives this smaller graph from the original one, and a visualization algorithm that returns a graph layout to the observer. We report on our results on inspecting the network of a folksonomy.
Links and resources
- DOI:
- 10.1109/WI-IAT.2011.77
- URL:
- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6040714
- BibTeX key:
- 6040714
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