2015Information SciencesRequires access

Detecting of Technology Innovation Trends Based on Patent Data:Theory and Methods

Xian Liu

Open publisher page 1 citations

Abstract

This article summarizes the theory, methods and systems of innovation trends detection prob-lem based on patent analysis. By comparing the priorities and weaknesses of four kinds of methods whichcomposed from the perspectives of expert judgment, information analysis, network evolution and informa-tion visualization, we found out that behavior of innovation groups, big data analysis of patent, patent evo-lution network and patent visualization are the research direction and hotspots.

About this research paper

What this paper is about

This article summarizes the theory, methods and systems of innovation trends detection prob-lem based on patent analysis. By comparing the priorities and weaknesses of four kinds of methods whichcomposed from the perspectives of expert judgment, information analysis, network evolution and informa-tion visualization, we found out that behavior of innovation groups, big data analysis of patent, patent evo-lution network and patent visualization are the research direction and hotspots.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This article summarizes the theory, methods and systems of innovation trends detection prob-lem based on patent analysis. By comparing the priorities and weaknesses of four kinds of methods whichcomposed from the perspectives of expert judgment, information analysis, network evolution and informa-tion visualization, we found out that behavior of innovation groups, big data analysis of patent, patent evo-lution network and patent visualization are the research direction and hotspots.

Key concepts: Patent visualisation, Patent analysis, Visualization, Data science, Computer science, Big data, Network analysis, Data mining

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