Use network statistics (node count, edge count, clustering coefficient, number of strongly connected components, maximum strongly connected component size, modularity, average patents per inventor, ...) from patent co-authorship and patent citation data to predict future H-indices of several prominent organizations.
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Using graph properties of patent co-authorship and citation networks to predict future H-indices
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