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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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  • P-ISSN2765-2203
  • E-ISSN2765-2211
  • KCI Candidate

Trend Analysis of Research Topics in Ecological Research

Trend Analysis of Research Topics in Ecological Research

국립생태원보 / Proceedings of the National Institute of Ecology of the Republic of Korea, (P)2765-2203; (E)2765-2211
2023, v.4 no.1, pp.43-48
https://doi.org/10.22920/PNIE.2023.4.1.43
KimSuntae(Suntae Kim) (Department of Library and Information Science, Jeonbuk National University)

초록

This study analyzed research trends in the field of ecological research. Data were collected based on a keyword search of the SCI, SSCI, and A&HCI databases from January 2002 to September 2022. The seven keywords, including biodiversity, ecology, ecotourism, species, climate change, ecosystem, restoration, wildlife, were recommended by ecological research experts. Word clouds were created for each of the searched keywords, and topic map analysis was performed. Topic map analysis using biodiversity, climate change, ecology, ecosystem, and restoration each generated 10 topics; topic maps analysis using the ecotourism keyword generated 5 topics; and topic map analysis using the wildlife keyword generated 4 topics. Each topic contained six keywords.

keywords
Ecological research, Topic map, Trend analysis, Web of Science, Word cloud

Abstract

This study analyzed research trends in the field of ecological research. Data were collected based on a keyword search of the SCI, SSCI, and A&HCI databases from January 2002 to September 2022. The seven keywords, including biodiversity, ecology, ecotourism, species, climate change, ecosystem, restoration, wildlife, were recommended by ecological research experts. Word clouds were created for each of the searched keywords, and topic map analysis was performed. Topic map analysis using biodiversity, climate change, ecology, ecosystem, and restoration each generated 10 topics; topic maps analysis using the ecotourism keyword generated 5 topics; and topic map analysis using the wildlife keyword generated 4 topics. Each topic contained six keywords.

keywords
Ecological research, Topic map, Trend analysis, Web of Science, Word cloud
투고일Submission Date
2022-11-27
수정일Revised Date
2023-01-09
게재확정일Accepted Date
2023-01-10

국립생태원보