Document Type : Articles

Authors

1 Farshid Danesh Assistant Prof. of LIS, Department of Information Management, Regional Information Center for Science & Technology (RICeST), Shiraz, Iran. farshiddanesh@ricest.ac.ir ORCID: https://orcid.org/0000-0001-5481-3988

2 Samaneh Kesht Karan Ph.D. student in information science & knowledge, payame noor Tehan, Iran. Keshtkarann@gmail.com ORCID: https://orcid.org/0000-0003-3000-5649

3 Lili Banihashemi Ph.D. Candidate in Information Science Department of Information Science, Faculty of Education and Psychology Alzahra University Vanak, Tehran, Iran.

4 Somayeh GhaviDel Phd of knowledge and Information Science, kharazmi university, Tehran, Iran. Corresponding Author: s.ghavidel@tehranpl.ir ORCID: https://orcid.org/0000-0002-3852-3398

Abstract

Editorial board members (EBMs) of journals play a pivotal role in authentic international scientific journals. Editorial Board Interlocking (EBI) phenomenon reflects the effectiveness and importance of the scholarly journal's editorial boards in various scientific fields. The primary purpose of this paper is to conduct a Social Network Analysis (SNA) of EBI phenomena from the perspective of astronomy and astrophysics journals. The present study is applied research based on EBI, SNA, and the descriptive-analytical approach. The statistical population of this study consists of the editorial board members of all journals of astronomy and astrophysics indexed in the JCR and official journal websites. There are 1597 job positions in 67 astronomy and astrophysics journals occupied by the 1394 scholars. Data analysis shows EBI for 95 scholars and 79 organizations. "Aleksei A. Starobinsky" from Russia and the Russian Academy of Sciences, "Daniel J. Scheeres" from the United States, and the University of Colorado Boulder have the highest EBI contributions in five journals. "Daniel J. Scheeres," with a centrality of 39, has the highest degree of centrality measurement among the EBMs. The presence of more than five times as many men as women indicates that astronomy and astrophysics journals are considered "masculine" by the editorial board. The EBI phenomenon is observed in astronomy and astrophysics journals due to the limited number of peop le eligible for the editorial board. Due to EBI, a limited number of famous scholars are made macro-policies such as publishing the articles, referees selections, and the reviewing process. Astronomy and astrophysics journals have "elite" academic networks. Gender inequality exists among EBMs, and the majority of them are male. Accordingly, these journals are "men's journals."

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Andrikopoulos, A. & Economou, L. (2015). Editorial board interlocks in financial economics. International Review of Financial Analysis, 37, 51–62.
Ashmos Plowman, D. & Smith, A. D. (2011). The gendering of organizational research methods: Evidence of gender patterns in qualitative research. Qualitative Research in Organizations and Management: An International Journal, 6(1), 64-82.
Baccini, A. & Barabesi, L. (2009). Interlocking editorship. A network analysis of the links between economic journals. Scientometrics, 82(2), 365-389.
Baccini, A. & Barabesi, L. (2011). Seats at the table: The network of the editorial boards in information and library science. Journal of Informetrics, 5(3), 382-391.
Baccini, A. (2009). Italian economic journals. A network-based ranking and an exploratory analysis of their influence on setting international professional standards. Rivista italiana degli economisti, 14(3), 491-512.
Baccini, A., Barabesi, L. & Marcheselli, M. (2009). How are statistical journals linked? A network analysis. Chance, 22(3), 35-45.
Borgatti, S. P. (2002). NetDraw: Graph visualization software. Harvard: Analytic Technologies.
Borgatti, S. P. (2005). Centrality and network flow". Social Networks, 27, 55-71.
Borgatti, S. P., Everett, M. G., Freeman, L. C. (2002). UCINET for Windows: Software for social network analysis. Harvard: Analytic Technologies. Available at: www.casos.cs.cmu.edu/publications/papers/DisasterResponse.doc.
Braun, T. & Dióspatonyi, I. (2005a). Counting the gatekeepers of international science journals a worthwhile science indicator. Current Science, 89(9), 1548–1551.
Braun, T. & Dióspatonyi, I. (2005b). World Flash on Basic Research: The counting of core journal gatekeepers as science indicators really counts. The scientific scope of action and strength of nations. Scientometrics, 62(3), 297–319.
Braun, T. (2004). Keeping the gates of science journals. In Handbook of Quantitative Science and Technology Research (pp. 95-114). Springer, Dordrecht.
Burgess, T. F. & Shaw, N. E. (2010). Editorial board membership of management and business journals: A social network analysis study of the Financial Times 40. British Journal of Management, 21(3), 627-648.
Cabanac, G. (2012). Shaping the landscape of research in information systems from the perspective of editorial boards: A scientometric study of 77 leading journals. Journal of the American Society for Information Science and Technology, 63(5), 977–996.
Carrington, P. J., Scott, J., & Wasserman, S. (2005). Models and Methods in Social Network Analysis (Vol. 28). Cambridge university press. Chicago
Chan, K. C., Fung, H. G. & Lai, P. (2005). Membership of editorial boards and rankings of schools with international business orientation. Journal of International Business Studies, 36(4), 452-469.
Cheng, B. (2006). Using social network analysis to investigate potential bias in editorial peer review in core journals of comparative/international education. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2294&context=etd
Cross, R. & Prusak, L. (2002). The people who make organizations go or stop. Harvard Business Review, 80 (6), 104-112.
Danesh F. (2020). Knowledge Organization Discovering & Visualizing Prominent Patterns, Hidden Relationships & Subjects Trends. Iranian Journal of Information Processing and Management, 36 (2), 469-500.
Erfanmanesh, M. & Morovati, M. (2018). Interlocking Editorships in Scientific Journals. Science and Engineering Ethics, 24(5), 1665–1667.
Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239.
Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1, 215–239.
Freeman, L. C. (2006). The development of social network analysis. Vancouver: Empirical Press.
García-Carpintero, E., Granadino, B. & Plaza, L. M. (2010). The representation of nationalities on the editorial boards of international journals and the promotion of the scientific output of the same countries. Scientometrics, 84(3), 799–811.
Golbeck, J. (2015). Introduction to social media investigation: A hands-on approach. United States: Syngress.
Goyanes, M. & De-Marcos, L. (2020). Academic influence and invisible colleges through editorial board interlocking in communication sciences: a social network analysis of leading journals. Scientometrics, 123(2), 791-811.
Hames, I. (2001). Editorial boards: Realizing their potential. Learned Publishing, 14(4), 247–256.
Hames, I. (2007). Peer Review and Manuscript Management in Scientific Journals: Guidelines for Good Practice. Malden, MA: Blackwell Pub.
Liwei, Z. & Chunlin, J. (2015). Social network analysis and academic performance of the editorial board members for journals of library and information science. COLLNET Journal of Scientometrics and Information Management, 9(2), 131-143.
Lockstone-Binney, L., Ong, F. & Mair, J. (2021). Examining the interlocking of tourism editorial boards. Tourism Management Perspectives, 38(1), 100829.
Metz, I. & Harzing, A. W. (2009). Gender Diversity in Editorial Boards of Management Journals. Academy of Management Learning & Education, 8, 4, 540-557.
Metz, I. & Harzing, A. W. (2012). An update of gender diversity in editorial boards: A longitudinal study of management journals. Personnel Review, 41(3), 283–300.
Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., & Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Annals of Cardiac Anaesthesia22(1), 67–72.
Newman, M. E. (2005). A measure of betweenness centrality based on random walks. Social networks, 27(1), 39-54.
Newman, M. E. J. (2000). Who is the best-connected scientist? A study of scientific co-authorship networks. Physical Review, 64, 337–370.
Newman, M. E. J. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2), 404–409.
Ni, C. & Ding, Y. (2010). Journal clustering through interlocking editorship information. In Proceedings of the American Society for Information Science and Technology, 47(1), 1-10.
Nooy, W., Mrvar, A. & Batagelj, V. (2005). Exploratory Social Network Analysis With Pajek. Cambridge: Cambridge University Press.
Nunkoo, R., Thelwall, M., Ladsawut, J. & Goolaup, S. (2020). Three decades of tourism scholarship: Gender, collaboration, and research methods. Tourism Management, 78, 104056.
Parise, S. (2007). Knowledge management and human resource development: An application in social network analysis methods. Advances in Developing Human Resources, 9, 359-383.
Parise, S., Cross, R. & Davenport, T. H. (2006). Strategies for preventing a knowledge loss crisis. MIT Sloan Management Review, 47(4), 31-38.
Rousseau, R. & Zhang, L. (2008). Betweenness centrality and Q-measures in directed valued networks. Scientometrics, 75(3), 575–590.
Scott, J. (1991). Social Network Analysis. London: Sage.
Scott, J. (2000). Social network analysis: A handbook (2nd Ed.). London: Sage.
Serenko, A. & Bontis, N. (2017). Global ranking of knowledge management and intellectual capital academic journals: 2017 update. Journal of Knowledge Management, 21(3), 675–692.
Soheili, F., & Osareh, F. (2013). Concepts of Centrality and Density in Scientific and Social Networks. Librarianship and Information Organization Studies, 24(3), 92-108.
Teixeira, E. K. & Oliveira, M. (2018). Editorial board interlocking in knowledge management and intellectual capital research field. Scientometrics, 117(3), 1853-1869.
Wang, X. (2018). The relationship between SCI editorial board representation and university research output in the field of computer science: A quintile regression approach. Malaysian Journal of Library & Information Science, 23(1), 67–84.
Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press.
Wasserman, S., Galaskiewicz, J. (1994). Advances in Social Network Analysis: Research in the Social and Behavioral Sciences. Thousand Oaks: Sage.
Willett, P. (2013). The characteristics of journal editorial boards in library and information science. International Journal of Knowledge Content Development & Technology, 3, 5–17.
Williams, E. A., Kolek, E. A., Saunders, D. B., Remaly, A. & Wells, R. S. (2018). Mirror on the field: Gender, authorship, and research methods in higher education's leading journals. The Journal of Higher Education, 89(1), 28-53.
Yasmin, H. S., Edward J.W. Walid, K. S., John, T. R. (2008). Social networks of Author–coauthor relationships. Computational Statistics & Data Analysis, 52, 2177–2184.