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Two-layer network analysis and distance
participants
- Andrea
- Paolo
- Valerio
- Vasyl
- Aliona
- Alex C
- Alex P
applications
- clustering aka FOAF or Voronoi partitioning
- proximity/distance from Paper to User (recomm.), Paper to Paper (clustering) UserS to Paper (e.g. reviewers), User to Concept (expert - Sub-project 7), User to User
- diversification of search results
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Automatically build (hierarchical) thesaurus of concepts based on their use in papers. Need a module:
input: list of papers
output: hierarchical list of concepts with topics
Hierarchically cluster a collection of papers. determines topics.
Uses: clustering module and possibly DIM module
At least 3 Parts
- DIM (direct interaction method)
- needs to be compared to simpler methods (e.g. co-occurrence)
- biartite clustering (papers connected citations, concepts connected through ontology and papers contain concepts)
- need to do experiments with paper-2-paper based on citations AND on concepts
- distance on graph