Emergence scoring to identify frontier R&D topics and key players
Emergence scoring to identify frontier R&D topics and key players
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DOI：
10.1016/j.techfore.2018.04.016
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发表时间：
2019-09-01
影响因子：
12
通讯作者：
Newman, Nils C.
中科院分区：
文献类型：
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作者：
Porter, Alan L.;Garner, Jon;Newman, Nils C.
技术涌现的指标为那些决定研发重点的人提供了宝贵的情报。我们提出了一种实现的算法来计算抽象记录集中主题术语的出现分数。我们根据这些分数提供了一系列紧急情况指标。主要出现指标确定“热门话题”术语。然后，我们使用这些指标来生成二级指标，这些指标反映了在目标研发领域的前沿领域特别活跃的组织、国家或作者。我们还标记了富含新兴技术内容的摘要记录（论文或专利），并对研究领域的相对新兴程度进行了评分。本文给出了举例主题的说明性结果-纳米药物递送，非线性规划，染料敏化太阳能电池和大数据。
Indicators of technological emergence promise valuable intelligence to those determining R&D priorities. We present an implemented algorithm to calculate emergence scores for topical terms from abstract record sets. We offer a family of emergence indicators deriving from those scores. Primary emergence indicators identify "hot topic" terms. We then use those to generate secondary indicators that reflect organizations, countries, or authors especially active at frontiers in a target R&D domain. We also flag abstract records (papers or patents) rich in emergent technology content, and we score research fields on relative degree of emergence. This paper presents illustrative results for example topics - Nano-Enabled Drug Delivery, Non-Linear Programming, Dye Sensitized Solar Cells, and Big Data.