Novelty and influence of creative works, and quantifying patterns of advances based on probabilistic references networks

Volume: 9, Issue: 1
Published: Jan 30, 2020
Abstract
Recent advances in the quantitative, computational methodology for the modeling and analysis of heterogeneous large-scale data are leading to new opportunities for understanding human behaviors and faculties, including creativity that drives creative enterprises such as science. While innovation is crucial for novel and influential achievements, quantifying these qualities in creative works remains a challenge. Here we present an...
Paper Details
Title
Novelty and influence of creative works, and quantifying patterns of advances based on probabilistic references networks
Published Date
Jan 30, 2020
Volume
9
Issue
1
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