The results show that the accuracy of centrality measures declines smoothly and predictably with the amount of error.
Oct 22, 2024 · The results show that the accuracy of centrality measures declines smoothly and predictably with the amount of error.
The results show that the accuracy of centrality measures declines smoothly and predictably with the amount of error.
On the robustness of centrality measures under conditions of imperfect data · S. Borgatti, Kathleen M. Carley, D. Krackhardt · Published in Soc. Networks 1 May ...
Borgatti, S.P., Carley, K.M. and Krackhardt, D. (2006) On the Robustness of Centrality Measures under Conditions of Imperfect Data. Social Networks, 28, 124-136
On the robustness of centrality measures under conditions of imperfect data · Mathematics, Computer Science. Soc. Networks · 2006.
In this paper, we examine the robustness of centrality to the presence of errors in the network structure. Our experiments are performed on weighted and ...
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Dec 15, 2009 · This study investigates the topological form of a network and its impact on the uncertainty entrenched in descriptive measures computed from ...
[PDF] Robustness of centrality measures under uncertainty - CASOS
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Dec 15, 2009 · The aim of this experiment is to examine the relationship of a network's ground- truth topology to the robustness of network measures that are ...
If the average degree increases, then centrality measures in BA graphs become more robust, in contrast to ER graphs. We also make these observations in our ...