Toward A Confidence Estimate For The Most - Central - Actor Finding
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چکیده
1 Toward A Confidence Estimate For The Most-Central-Actor Finding Terrill L. Frantz & Kathleen M. Carley ABSTRACT We introduce a innovative practice of providing a statistical confidence estimate to accompany the reporting of the most-central actor according to social network data; often times, collected relationship-data has some amount of error, which may affect the accuracy of the topactor finding. This confidence estimate is the frequency-based likelihood that the data-based finding accurately identifies the most-central actor in the ground-truth social network. Among other possibilities, this confidence estimate is immediately applicable to: degree, betweenness, closeness and eigenvector centrality. This paper describes and illustrates a practical, nonparametric resampling approach for determining, applying and evaluating this confidence estimate.
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