A network science paper introduces Smart Bins, a clustering-based label generation method, and two new prediction targets (influence peak and peak time), reporting improved and more stable key node classification.
Top influencers can be identified universally by combining classical centralities
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Identifying Key Nodes for the Influence Spread using a Machine Learning Approach
A network science paper introduces Smart Bins, a clustering-based label generation method, and two new prediction targets (influence peak and peak time), reporting improved and more stable key node classification.