Ryan Light , Nicholas Theis , Achim Edelmann , James Moody , Richard York
{"title":"云气候科学:共识和反共识科学家的比较网络和文本分析","authors":"Ryan Light , Nicholas Theis , Achim Edelmann , James Moody , Richard York","doi":"10.1016/j.socnet.2021.11.007","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"75 ","pages":"Pages 148-158"},"PeriodicalIF":2.9000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clouding climate science: A comparative network and text analysis of consensus and anti-consensus scientists\",\"authors\":\"Ryan Light , Nicholas Theis , Achim Edelmann , James Moody , Richard York\",\"doi\":\"10.1016/j.socnet.2021.11.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":48353,\"journal\":{\"name\":\"Social Networks\",\"volume\":\"75 \",\"pages\":\"Pages 148-158\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Social Networks\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378873321001040\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Networks","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378873321001040","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
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.
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.