The Co-Authorship and Subject Areas Network in MOOCS’ Scientific Production in Web of Science

Year 2019, Volume: 20 Issue: 4, 73 - 84, 01.10.2019

Shadi Asadzandı Rita Mojtahedzadeh Aeen Mohammadı Shiva Malgard Hamed Rashıdı

https://doi.org/10.17718/tojde.640514

Cited By: 1

Abstract

Massive Open Online Courses (MOOCs) is a new phenomenon in online learning which are held by higher education institutions and universities. MOOCs is larger than normal classes and it is free as well. The present study aims to specify the authors’ structure of co-authorship and the required indicators in analyzing co-authorship, co-authorship network of countries, organizations and subject areas in MOOCs. All productions regarding scientific areas of MOOCs were extracted from the Web of Science from the beginning till 2016. There are 2195 extracted documents that were saved as txt and isi formats. Co-authorship drawing networks were prepared by website software CiteSpace version 5.1.R8 SE and Gephi version 0.9.2. MOOCs co-authorship network is regarded as spare that means the number of ties is less than nodes. This indicates that authors in this area have fewer tendencies for scientific relations. European countries play the main role in this area and their co-authorship is considerable. Harvard University has considerable co-authorship in this domain. According to the results of this study, MOOCs’ network suffers from the lack of collaboration.

Keywords

Co-authorship, MOOCs, scientific production, Web of Science

References

• Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: an open source software for exploring and manipulating networks. Icwsm, 8, 361-362. Braun, T. (2005). Handbook of Quantitative Science and Technology Research. The Use of Publication and Patent Statistics in Studies of S&t Systems. Scientometrics, 63(1), 185-188. Bu, Y., Murray, D. S., Ding, Y., Huang, Y., & Zhao, Y. (2018). Measuring the stability of scientific collaboration. Scientometrics, 114(2), 463-479. Clarke, B. L. (1964). Multiple authorship trends in scientific papers. Science, 143(3608), 822-824. De Stefano, D., Fuccella, V., Vitale, M. P., & Zaccarin, S. (2013). The use of different data sources in the analysis of co-authorship networks and scientific performance. Social Networks, 35(3), 370-381. Gaebel, M. (2014). MOOCs: Massive open online courses: EUA. Gupta, N., & Chohda, N. (2018). Evinced E-Learning published research in scopus database from 2007– 2016: The scientometric study. Gyankosh-The Journal of Library and Information Management, 9(1), 24-32. Gusti Salamah, U., & Alayham Abbas Helmi, R. (2018). MOOC Platforms: a Review and Comparison. International Journal of Engineering & Technology, 7(4,11), 70-74. Hara, N., Solomon, P., Kim, S. L., & Sonnenwald, D. H. (2003). An emerging view of scientific collaboration: Scientists’ perspectives on collaboration and factors that impact collaboration. Journal of the Association for Information Science and Technology, 54(10), 952-965. Hariri, N., & Nikzad, M. (2011). Co-authorship networks of Iranian articles in library and information science, psychology, management and economics in ISI during 2000-2009. Iranian journal of Information Processing & Management, 26(4), 825-844. Heinze, T., & Kuhlmann, S. (2008). Across institutional boundaries?: Research collaboration in German public sector nanoscience. Research policy, 37(5), 888-899. Katz, J. S., & Martin, B. R. (1997). What is research collaboration? Research policy, 26(1), 1-18. Keenan, S., & Cochrane, P. A. (1964). The Journal Literature of Physics: A Comprehensive Study Based on Physics Abstracts: American Institute of Physics. Koseoglu, M. A., Okumus, F., Putra, E. D., Yildiz, M., & Dogan, I. C. (2018). Authorship trends, collaboration patterns, and co-authorship networks in lodging studies (1990–2016). Journal of Hospitality Marketing & Management, 27(5), 561-582. Kumar, S. (2018). Ethical Concerns in the Rise of Co-Authorship and Its Role as a Proxy of Research Collaborations. Publications, 6(3), 37. Kumar, S., & Jan, J. M. (2013). Mapping research collaborations in the business and management field in Malaysia, 1980–2010. Scientometrics, 97(3), 491-517. Liyanagunawardena, T. R., Adams, A. A., & Williams, S. A. (2013). MOOCs: A systematic study of the published literature 2008-2012. The International Review of Research in Open and Distributed Learning, 14(3), 202-227. Malin, B., & Carley, K. (2007). A longitudinal social network analysis of the editorial boards of medical informatics and bioinformatics journals. Journal of the American Medical Informatics Association, 14(3), 340-348. Misra, J., Smith-Doerr, L., Dasgupta, N., Weaver, G., & Normanly, J. (2017). Collaboration and gender equity among academic scientists. Social Sciences, 6(1), 25. Mohammadi, A., Asadzandi, S., & Malgard, S. (2017). A Survey of the Collaboration Rate of Authors in the E-Learning Subject Area over a 10-Year Period (2005-2014) Using Web of Science. The International Review of Research in Open and Distributed Learning, 18(2). 84 Mulder, F., & Jansen, D. (2015). MOOCs for opening up education and the OpenupEd initiative. MOOCs and Open Education around the world, 130-142. Neil Bendle, X. S. W. a. F. M. (2016). Understanding Co-Authorship among Consumer Behavior Scholars. Journal for Advancement of Marketing Education-, 24(1), 1-13. Newman, M. E. (2004). Coauthorship networks and patterns of scientific collaboration. Proceedings of the national academy of sciences, 101(suppl 1), 5200-5205. Olmeda-Gomez, C., Perianes-Rodriguez, A., Antonia Ovalle-Perandones, M., Guerrero-Bote, V. P., & de Moya Anegon, F. (2009). Visualization of scientific co-authorship in Spanish universities: From regionalization to internationalization. Paper presented at the Aslib Proceedings. Osareh, F., Serati Shirazi, M., & Khademi, R. (2014). A Survey on Co-authorship Network of Iranian Researchers in the field of Pharmacy and Pharmacology in Web of Science during 2000-2012. Journal of Health Administration, 17(56), 33-45. Osca-Lluch, J., Velasco, E., Lopez, M., & Haba, J. (2009). Co-authorship and citation networks in Spanish history of science research. Scientometrics, 80(2), 373-383. Park, H. W., Yoon, J., & Leydesdorff, L. (2016). The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea. Scientometrics, 109(2), 1017-1036. Patru, M., & Balaji, V. (2016). Making sense of MOOCs: A Guide for policy-makers in developing countries Retrieved from http://unesdoc.unesco.org/images/0024/002451/245122E.pdf Santos, J. A. C., & Santos, M. C. (2016). Co-authorship networks: Collaborative research structures at the journal level. Tourism & Management Studies, 12(1), 5-13. Shafiq, H., Wani, Z. A., Mahajan, I. M., & Qadri, U. (2017). Courses beyond borders: A case study of MOOC platform Coursera. Library Philosophy and Practice, 1-15. Shen, J., Yao, L., Li, Y., Clarke, M., Gan, Q., Fan, Y., . . . Wang, L. (2011). Visualization studies on evidence‐ based medicine domain knowledge (series 2): structural diagrams of author networks. Journal of Evidence‐Based Medicine, 4(2), 85-95. Sonnenwald, D. H. (2007). Scientific collaboration. Annual review of information science and technology, 41(1), 643-681. Tibana-Herrera, G., Fernandez-Bajon, M. T., & de Moya-Anegon, F. (2018). Global analysis of the E-learning scientific domain: a declining category? Scientometrics, 114(2), 675-685. Vanni, T., Mesa-Frias, M., Sanchez-Garcia, R., Roesler, R., Schwartsmann, G., Goldani, M. Z., & Foss, A. M. (2014). International scientific collaboration in HIV and HPV: a network analysis. PloS one, 9(3), e93376. Vimala, V., & Reddy, V. P. (2017). Authorship pattern and collaborative research in the field of zoology. Malaysian Journal of Library & Information Science, 1(2), 43-50. Voss, B. D. (2013). Massive open online courses (MOOCs): A primer for university and college board members. AGB Association of Governing Boards of Universities and Colleges. Wang, Y., Wu, Y., Pan, Y., Ma, Z., & Rousseau, R. (2005). Scientific collaboration in China as reflected in co-authorship. Scientometrics, 62(2), 183-198. Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications (Vol. 8): Cambridge university press.