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.
Influence maximization frameworks, performance, challenges and directions on social network: A theoretical study
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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.