Good versus optimal: Why network analytic methods need more systematic evaluation

Bibliographic Details
Main Author: Zweig Katharina
Format: Article
Language:English
Published: De Gruyter 2011-03-01
Series:Open Computer Science
Subjects:
Online Access:https://doi.org/10.2478/s13537-011-0009-x
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author Zweig Katharina
author_facet Zweig Katharina
author_sort Zweig Katharina
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spelling doaj.art-35d6ed40e08d463e8daccde9f352f9a12022-12-21T21:30:24ZengDe GruyterOpen Computer Science2299-10932011-03-011113715310.2478/s13537-011-0009-xs13537-011-0009-xGood versus optimal: Why network analytic methods need more systematic evaluationZweig Katharina0Network Analysis and Graph Theory, Interdisciplinary Center for Scientific Computing (IWR), Ruprecht-Karls-University Heidelberg, Speyerer Straße 6, 69118, Heidelberg, Germanyhttps://doi.org/10.2478/s13537-011-0009-xnetwork analysisnetwork motifscentrality indicesclustering algorithmsground truth
spellingShingle Zweig Katharina
Good versus optimal: Why network analytic methods need more systematic evaluation
Open Computer Science
network analysis
network motifs
centrality indices
clustering algorithms
ground truth
title Good versus optimal: Why network analytic methods need more systematic evaluation
title_full Good versus optimal: Why network analytic methods need more systematic evaluation
title_fullStr Good versus optimal: Why network analytic methods need more systematic evaluation
title_full_unstemmed Good versus optimal: Why network analytic methods need more systematic evaluation
title_short Good versus optimal: Why network analytic methods need more systematic evaluation
title_sort good versus optimal why network analytic methods need more systematic evaluation
topic network analysis
network motifs
centrality indices
clustering algorithms
ground truth
url https://doi.org/10.2478/s13537-011-0009-x
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