![](bga.png)
Table 3: Comparison of the F-measures for the different family names: DBLP partition vs. the proposed expert repository.
The figure also presents the mean F-measure and a weighted (based on the number of papers of each author) F-measure.
% Turck Woo Mens Chen Johnson Mean Weighted
DBLP 100.0 87.5 100.0 2.7 62.8 70.6 61.8
Proposed 100.0 94.1 89.8 63.7 74.7 84.5 79.0
Accuracy Gain 0.0% +7.5% -10.2% +2259.3% +18.9% +19.3% +28.2%
identification of unique author profiles of 28% com-
pared to the results from DBLP.
Future work should focus on enabling the usage of
negative weights to the graph model identifying com-
pletely different authors. The expansion of the num-
ber of online sources in order to retrieve more author
information will result in the possible entailment of
additional (re)clustering rules.
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