Exploring natural capital using bibliometrics and social media data

Dados Bibliográficos

ID4240652
AutoresYuan Pan (0000-0002-9009-5140, University of Cambridge), Bhaskar Vira (0000-0001-7766-6773, University of Cambridge)
Ano2019
Volume24
Fascículo4
Data de publicação2019-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoConservation Ecology (JOURNAL)
Identificadores do periódicoISSN: 1195-5449 • E-ISSN: 1708-3087
EditoraResilience Alliance (PUBLISHER • CA)
DOI10.5751/es-11118-240405
OpenAlexW2982112593
IdiomaEN
Citações recebidas4
Referências citadas15

Research and interest into natural capital, i.e., the stock of the world's natural resources, is increasing as it links humans with nature within a social-ecological system, contributing to ecosystem sustainability. We collected publication data for 300 natural capital papers to explore academic networks and research trends. We used Twitter to collect 14,193 tweets about natural capital over nine months. Analyzing publication data shows three main research clusters, but few coauthorships between the clusters. The results show substantial international coauthorships, and the dominance of American and British academics as coauthors. Analyzing Twitter data, we identified a small community of key users that tweet about natural capital frequently. We found that a range of words is used in tweets about natural capital and the overall sentiment of tweets is positive. For both types of data, "ecosystem services" and "biodiversity" are keywords associated with natural capital. Our results have identified key communities of natural capital researchers, but highlight a potential disconnect between research clusters that needs to be addressed. Current communities surrounding natural capital in academia and on Twitter are relatively exclusive and small

Archaeology · Bibliometrics · Biology · Data science · Ecosystem services · Environmental resource management · Geography · Library science · Natural capital · Political science · Social capital · Social media · Social science · Sociology · World Wide Web · Computer Science · Conservation, Biodiversity, and Resource Management · Environmental Science · Land Use and Ecosystem Services · Species Distribution and Climate Change · Ecology