Constructs algorithm co-occurrence networks from full-text NLP papers and applies centrality measures to quantify group influence and temporal changes.
Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks
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Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers
Constructs algorithm co-occurrence networks from full-text NLP papers and applies centrality measures to quantify group influence and temporal changes.