Nanotechnology Performance Analysis Using Topic Modeling and Social Network Analysis: Focusing on NTIS Data in Korea (2015–2019)

Abstract

AbstractIn this study, in order to analyze nanotechnology trends, topic modeling analysis and text network analysis were conducted by collecting nanotechnology summary information that was developed between 2014 and 2019 and registered in NTIS. First, key keywords were selected through topic modeling analysis, and then a text network was built based on these keywords. As a result of classifying topics through topic modeling analysis, topics were classified into five topics based on the five major nanotechnology fields classified by the government. In addition, as a result of conducting a network analysis to examine the factors that affect nanotechnology performance, carbon, battery, metal, electrode, fiber, substrate, and graphene were found as factors that mainly influence nanotechnology. Next, as a result of analyzing the nanotechnology field according to the time period, the five major fields were from 2014 to 2015 (time 1), 2016 to 2017 (time 2), and 2018 to 2019 (time 3). The results of technology development have occurred evenly. However, it was confirmed that the degree of technology development by field differs depending on the period. As for the text network analysis, the most active development was in the nano-energy and environment field in the period 1, the nanomaterials and the nanodevices in the period 2, and the nanomaterials in the period 3.KeywordsNanotechnologyTechnology trendTechnology performance structureText network analysisTopic modeling