Why do ecologists search for co-authorships? Patterns of co-authorship networks in ecology (1977–2016)
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Here, the pattern of co-authorship among ecologists was evaluated using a network approach that was built using four time periods (1977–1986, 1987–1996, 1997–2006, and 2007–2016). Furthermore, four potential explanations (geographic distance, word similarity, reputation asymmetry, and country development) for this pattern were evaluated. Distance and reputation asymmetry effects on collaboration have decreased in recent decades, whereas word similarity was a good predictor in recent decades. Of interest, country development was not a good predictor of co-authorship among ecologists.
KeywordsCo-authorship networks Research collaboration Ecology Homophily
I received a scholarship from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). I am grateful for all comments made on the manuscript during the peer-review process.
- Csardi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal, Complex Systems, 1695(5), 1–9.Google Scholar
- Day, R. (1989). The origins of the scientific paper: The IMRaD format. American Medical Writers Association Journal, 4(2), 16–18.Google Scholar
- Feinerer, I., & Hornik, K. (2017). tm: Text mining package. R package version 0.7-1. https://CRAN.R-project.org/package=tm. Accessed 30 May 2017.
- Freeman, L. C. (1996). Some antecedents of social network analysis. Connections, 19(1), 39–42.Google Scholar
- Hijmans, R. J. (2016). raster: Geographic data analysis and modeling. R package version 2.5-8. https://CRAN.R-project.org/package=raster. Accessed 30 May 2017.
- Kahle, D., & Wickham, H. (2013) ggmap: Spatial visualization with ggplot2. The R Journal, 5(1):144–161. http://journal.r-project.org/archive/2013-1/kahle-wickham.pdf.
- Moody, J. (2004) The structure of a social science collaboration network: Disciplinary cohesio from 1963 to 1999. American Journal of Sociology 69(2):213–238. http://www.jstor.org/stable/3593085.
- R Development Core Team. (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. Accessed 30 May 2017.
- Thomson Reuters. (2016). 2015 Journal Citation Reports® Science Edition. http://jcr.incites.thomsonreuters.com/. Accessed 30 May 2017.
- United Nations Development Programme. (2016). Human development report 2016: Human development for everyone. Washington, DC: Communications Development Incorporated.Google Scholar