Ranking web services using centralities and social indicators
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Transcript of Ranking web services using centralities and social indicators
Ranking Web Services Using
Centralities and Social Indicators
Tilo Zemke*
José I. Fernández-Villamor**
Carlos Á. Iglesias**
ENASE 2012, Wroclaw
29th June 2012
* Chemnitz University of Technology
** Technical University of Madrid
Ranking Web Services Using Centralities
and Social Indicators
Logo sources: ProgrammableWeb.com API Directory 3
Ranking Web Services Using Centralities
and Social Indicators
Logo sources: ProgrammableWeb.com API Directory 4
Ranking Web Services Using Centralities
and Social Indicators
Logo sources: ProgrammableWeb.com API Directory 5
http://blog.programmableweb.com/2012/05/22/6000-apis-its-business-its-social-and-its-happening-quickly/
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• Relative importance of a vertex within
a graph
Ranking Web Services Using Centralities
and Social Indicators
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• Relative importance of a vertex within
a graph
• Degree Centrality (CD)
• Betwenness Centrality (CB)
• Closeness Centrality (CC)
• Eigenvector Centrality (CE)
Ranking Web Services Using Centralities
and Social Indicators
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Ranking Web Services Using Centralities
and Social Indicators
• ProgrammableWeb User Rating (PUR)
• Hits on Stackoverflow.com (GSO)
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•Subsets of Dataset
•„image“ (32), „voice“ (19), „twitter“ (18)
• Expert relevance judges rated each service in each set individually
• Afterwards agreed on a uniform rating for each web service
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•Subsets of Dataset
•„image“ (32), „voice“ (19), „twitter“ (18)
• Expert relevance judges rated each service in each set individually
• Afterwards agreed on a uniform rating for each web service
• Ratings served as gain quantifications for the normalized Discounted Cumulated Gain (nDCG) calculations
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Part of this research was funded by the
European Commission under the
project ICT-OMELETTE (FP7-ICT-2009-5):
European Project on Open Platform for
Telco Mashups
www.ict-omelette.eu
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