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on Sociology of Economics |
| By: | Onder, Ali Sina (University of Bayreuth); Popov, Sergey V (Cardiff Business School); Schweitzer, Sascha (University of Bayreuth) |
| Abstract: | Academic journals disseminate new knowledge, and editors of prominent journals are in a position to affect the direction and composition of research. Using machine learning procedures, we measure the influence of editors of the American Economic Review (AER) on the relative topic structure of papers published in the AER and other top general interest journals. We apply the topic analysis apparatus to the corpus of all publications in the Top 5 journals in Economics between 1976 and 2013, and also to the publications of the AER's editors during the same period. This enables us to observe the changes occurring over time in the relative frequency of topics covered by the AER and other leading general interest journals over time. We .nd that the assignment of a new editor tends to coincide with a change of topics in the AER in favour of a new editor's topics which can not be explained away by shifts in overall research trends that may be observed in other leading general interest journals. |
| Keywords: | Text Search; Topical Analysis; Academia; Knowledge Dissemination; In- fluence; Journals; Editors |
| JEL: | A11 A14 O3 |
| Date: | 2018–01 |
| URL: | http://d.repec.org/n?u=RePEc:cdf:wpaper:2018/2&r=sog |
| By: | Jing Chen (Regional Research Institute, West Virginia University); Randall Jackson (Regional Research Institute, West Virginia University) |
| Abstract: | The year 2015 marked the fiftieth anniversary of West Virginia University’s (WVU) Regional Research Institute (RRI), which has played an important role in many scientific collaboration networks. Through social network analysis (SNA) focusing on the RRI research community since its inception in 1965, this article illustrates the role that organizations and the networks they promote can play in scientific problem domains, promoting scholarly collaborations and coauthorship in the field of regional science. We analyzed an evolving WVU RRI coauthorship network that has grown and gained in complexity over time in terms of (1) global metrics, (2) components and cluster analysis, (3) centrality, and (4) PageRank and AuthorRank. The results of these analyses depict a well-developed and influential scientific collaboration structure within both WVU and the regional science research community. |
| Keywords: | coauthorship, regional science, social network analysis, Regional Research Institute |
| JEL: | R00 O18 A12 B31 |
| Date: | 2016–03 |
| URL: | http://d.repec.org/n?u=RePEc:rri:wpaper:2016rp03&r=sog |