most citedCommunity Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks

9 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DL2019★ 9 cited

Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks

Kensei Nakai, Hirofumi Nonaka, Asahi Hentona +5

Scoring patent documents is very useful for technology management. However, conventional methods are based on static models and, thus, do not reflect the growth potential of the te…

cs.IR2019★ 2 cited

Community Detection and Growth Potential Prediction from Patent Citation Networks

Asahi Hentona, Takeshi Sakumoto, Hugo Alberto Mendoza España +6

The scoring of patents is useful for technology management analysis. Therefore, a necessity of developing citation network clustering and prediction of future citations for practic…