토픽모델링과 ERGM에 기반한 디지털 신기술에 대한 트위터 데이터의 키워드 분석

Abstract

Artificial intelligence, big data, internet of things, autonomous driving, and blockchain are emerging digital technologies that are contributing significantly to society as essential drivers of the Fourth Industrial Revolution. We analyzed people's demands and identified the main fields that need to be nurtured by examining the Korean and English keywords related to digital technologies mentioned on Twitter. We selected keywords related to digital technologies and performed LDA topic modeling, dividing the data into three periods: the second half of 2020 and the first and second half of 2021. We also generated co-occurrence networks to understand the interconnection structure of the keywords. As the COVID-19 pandemic continued, we observed the emergence of topics related to metaverse services, which gained popularity in virtual environments. Artificial intelligence, cloud, and blockchain have high connections to various keywords in all three periods for Korean tweets. On the other hand, blockchain played a central role in English tweets. We applied ERGMs by utilizing press and research indices as node attributes in the Korean keyword co-occurrence networks. Throughout all the periods, the research index positively affects keyword connections. On the other hand, the press index has a negative effect on keyword connections, suggesting that the media might not accurately grasp public trends.