云气候科学:共识和反共识科学家的比较网络和文本分析

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY Social Networks Pub Date : 2023-10-01 DOI:10.1016/j.socnet.2021.11.007
Ryan Light , Nicholas Theis , Achim Edelmann , James Moody , Richard York
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引用次数: 0

摘要

气候科学家对人为气候变化的现实和严重后果达成了明确的共识。然而,少数人对这一共识提出了质疑。虽然一些研究已经引起了人们对保守派基金会如何支持这些反共识科学家的关注,但人们对这些学者如何融入更广泛的科学界知之甚少。在这里,我们分析了反共识和共识科学家的网络,并观察了这些群体通过同行合作(例如合著)或实质性关注(例如研究专业化)维持的程度。利用文献计量数据,我们构建了联合作者和文献网络,将出现在代表共识和反共识立场的两份关键报告中的科学家联系起来。我们在任一系列报告中使用文本分析和模型参与来确定专业领域。结果表明,反共识科学家与共识科学家不在同一网络中,尽管存在实质性的重叠,但其研究专业与共识科学家有所不同。此外,反共识科学家之间并没有形成一个连贯的网络,这表明他们并不构成一个单独的科学社区,而是由一群不同的特殊科学家组成。
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Clouding climate science: A comparative network and text analysis of consensus and anti-consensus scientists

There is a clear consensus among climate scientists about the reality and serious consequences of anthropogenic climate change. However, a vocal minority challenges this consensus. While some research has drawn attention to how conservative foundations support these anti-consensus scientists, less is known about how these scholars are embedded within the broader scientific community. Here, we analyze the networks of anti-consensus and consensus scientists and observe the extent to which these groups are maintained through peer collaborations (e.g. co-authorship) or substantive focus (e.g. research specialization). Using bibliometric data, we construct co-authorship and bibliographic networks linking scientists that appear in two key reports representing the consensus and anti-consensus positions. We identify specialty areas using text analysis and model participation in either series of reports. Results indicate that anti-consensus scientists are not in the same network as consensus scientists and have somewhat different research specializations than consensus scientists although there is substantive overlap. Additionally, anti-consensus scientists do not form a coherent network among themselves, which suggests they do not constitute a separate scientific community, but rather are composed of a disparate group of idiosyncratic scientists.

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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
期刊最新文献
From warnings to bans: The role of social networks in the severity of sanctions Editorial Board Digital communication and tie formation amongst freshmen students during and after the pandemic Corrigendum to “Impact of methods for reducing respondent burden on personal network structural measures” [Soc. Netw. 29 (2007) 300–315] Revising the Borgatti-Everett core-periphery model: Inter-categorical density blocks and partially connected cores
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