Stabilisation operationalised: Using time series analysis to understand the dynamics of research collaboration |
| |
| Authors: | Eleftheria Vasileiadou |
| |
| Institution: | 1. Ningbo City College of Vocational Technology, Ningbo 315502, PR China;2. Faculty of Life Science and Biotechnology, Ningbo University, Ningbo 315211, PR China;3. Research Institute of Subtropical Forestry, CAF, Fuyang 311400, PR China;4. College of Life Sciences, Zhejiang University, Hangzhou 310012, PR China;1. Swiss Federal Research Institute WSL, Research Unit Forest Resources and Management, Zuercherstr. 111, CH-8903 Birmensdorf, Switzerland;2. Forest Research Institute of Baden-Wuerttemberg, Department of Biometrics and Informatics, Wonnhaldestr. 4, D-79100 Freiburg, Germany;3. Forest Research Institute of Baden-Wuerttemberg, Department of Forest Ecology, Wonnhaldestr. 4, D-79100 Freiburg, Germany;1. University of Vermont, Rubenstein School of Environment and Natural Resources, Wildlife and Fisheries Biology Program, George D. Aiken Center, 81 Carrigan Drive, Burlington, VT 05405, USA;2. Denver Zoo – Mongolia Program, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia;3. U.S. Geological Survey, Vermont Cooperative Fish and Wildlife Research Unit, University of Vermont, George D. Aiken Center, Burlington, VT 05405, USA;4. Denver Zoological Foundation, Conservation Biology Department, 2300 Steele Street, Denver, CO 80205, USA;1. Department of Economics and Related Studies, University of York, UK;2. School of Economics and Granger Centre for Time Series Econometrics, University of Nottingham, UK;3. Essex Business School, University of Essex, UK;1. Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200052, China;2. School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China;3. School of Business, Sichuan University, Chengdu 610064, China;1. Centre National de la Recherche Scientifique (CNRS), Université Montpellier 1, UMR 5474 LAMETA, France;2. Ifremer, UMR M101 AMURE, France;3. Université de Brest, UMR M101 AMURE, France;4. Institut de Recherche pour le Développement (IRD), UMR 241 EIO, French Polynesia;5. Université de Polynésie Française, UMR 241 EIO, French Polynesia |
| |
| Abstract: | The aim of the paper is to investigate the use of online data and time series analysis, in order to study the dynamics of new types of research collaboration in a systematic way. Two international research teams were studied for more than 3 years, and quantitative data about their internet use together with observation of their collaboration patterns were gathered. Time series analysis (ARIMA modelling) was performed on their use of internet, and specific types of models related to specific ways of conducting research at a distance. The paper proposes the use of online data and ARIMA models to identify the stabilisation of a complex system, such as a research team, and investigate everyday research practices. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
