| Title |
Research Trend Analysis for Smart Grid using Social Network Analysis |
| Authors |
나상태(Na, Sang-Tae) ; 안주언(Ahn, Joo-Eon) ; Jung, Min-Ho(Jung, Min-Ho) ; 김자희(Kim, Ja-Hee) |
| DOI |
https://doi.org/10.5370/KIEE.2017.66.12.1697 |
| Keywords |
Social network analysis ; Edge betweenness ; Topic analysis ; Interdisciplinary research ; Smart grid |
| Abstract |
As the power grid has been changed to a smart grid, existing power technologies are evolving into convergence technology through interdisciplinary research. According to the government policy to increase the proportion of renewable energy to 20% by 2030, the speed seems to be accelerating. This study analyzes the relationship between research technologies in order to grasp research trends of smart grid technology. To this end, we analyze the relationship between keywords extracted from topic modeling using social network analysis methodology. This is because, in the field where interdisciplinary research such as smart grid is active, each research topic is not independent, but research technologies emerging in one topic coexist in different topics, and linkage between research technologies can be important information. Therefore, this study can contribute to the analysis of research trend as it can be used as a package tool together with a topic modeling methodology. |