IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v105y2015i3d10.1007_s11192-015-1652-0.html
   My bibliography  Save this article

Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects

Author

Listed:
  • Kamal Badar

    (University of Balochistan)

  • Julie M. Hite

    (Brigham Young University)

  • Naeem Ashraf

    (Lahore University of Management Sciences (LUMS))

Abstract

This study explores the curvilinear (inverted U-shaped) association of three classical dimension of co-authorship network centrality, degree, closeness and betweenness and the research performance in terms of g-index, of authors embedded in a co-authorship network, considering formal rank of the authors as a moderator between network centrality and research performance. We use publication data from ISI Web of Science (from years 2002–2009), citation data using Publish or Perish software for years 2010–2013 and CV’s of faculty members. Using social network analysis techniques and Poisson regression, we explore our research questions in a domestic co-authorship network of 203 faculty members publishing in Chemistry and it’s sub-fields within a developing country, Pakistan. Our results reveal the curvilinear (inverted U-shaped) association of direct and distant co-authorship ties (degree centrality) with research performance with formal rank having a positive moderating role for lower ranked faculty.

Suggested Citation

  • Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1553-1576, December.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1652-0
    DOI: 10.1007/s11192-015-1652-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1652-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-015-1652-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bordons, María & Aparicio, Javier & González-Albo, Borja & Díaz-Faes, Adrián A., 2015. "The relationship between the research performance of scientists and their position in co-authorship networks in three fields," Journal of Informetrics, Elsevier, vol. 9(1), pages 135-144.
    2. Maite Barrios & Anna Villarroya & Ángel Borrego, 2013. "Scientific production in psychology: a gender analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 15-23, April.
    3. Gilsing, Victor & Nooteboom, Bart & Vanhaverbeke, Wim & Duysters, Geert & van den Oord, Ad, 2008. "Network embeddedness and the exploration of novel technologies: Technological distance, betweenness centrality and density," Research Policy, Elsevier, vol. 37(10), pages 1717-1731, December.
    4. Pleun Arensbergen & Inge van der Weijden & Peter Besselaar, 2012. "Gender differences in scientific productivity: a persisting phenomenon?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 857-868, December.
    5. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    6. Hajar Sotudeh & Nahid Khoshian, 2014. "Gender differences in science: the case of scientific productivity in Nano Science & Technology during 2005–2007," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 457-472, January.
    7. Kamal Badar & Julie M. Hite & Yuosre F. Badir, 2013. "Examining the relationship of co-authorship network centrality and gender on academic research performance: the case of chemistry researchers in Pakistan," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 755-775, February.
    8. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
    9. Chien Hsiang Liao, 2011. "How to improve research quality? Examining the impacts of collaboration intensity and member diversity in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 747-761, March.
    10. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    11. P. S. Nagpaul, 2002. "Visualizing cooperation networks of elite institutions in India," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 213-228, June.
    12. Cédric Gossart & Müge Özman, 2009. "Co-authorship networks in social sciences: The case of Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 323-345, February.
    13. Rotolo, Daniele & Messeni Petruzzelli, Antonio, 2013. "When does centrality matter? Scientific productivity and the moderating role of research specialization and cross-community ties," MPRA Paper 53406, University Library of Munich, Germany.
    14. Ronald S. Burt, 1998. "The Gender Of Social Capital," Rationality and Society, , vol. 10(1), pages 5-46, February.
    15. Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
    16. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    17. Ángel Borrego & Maite Barrios & Anna Villarroya & Candela Ollé, 2010. "Scientific output and impact of postdoctoral scientists: a gender perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 93-101, April.
    18. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2007. "Generalized Hirsch h-index for disclosing latent facts in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 253-280, August.
    19. Thomas W. Pike, 2010. "Collaboration networks and scientific impact among behavioral ecologists," Behavioral Ecology, International Society for Behavioral Ecology, vol. 21(2), pages 431-435.
    20. Erjia Yan & Ying Ding, 2009. "Applying centrality measures to impact analysis: A coauthorship network analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 2107-2118, October.
    21. Gautam Ahuja & Riitta Katila, 2004. "Where do resources come from? The role of idiosyncratic situations," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 887-907, August.
    22. Costas, Rodrigo & Bordons, María, 2007. "The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level," Journal of Informetrics, Elsevier, vol. 1(3), pages 193-203.
    23. Katarina Prpić, 2002. "Gender and productivity differentials in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(1), pages 27-58, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    2. Wei Wang & Shuo Yu & Teshome Megersa Bekele & Xiangjie Kong & Feng Xia, 2017. "Scientific collaboration patterns vary with scholars’ academic ages," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 329-343, July.
    3. Zhu, Nibing & Liu, Chang & Yang, Zhilin, 2021. "Team Size, Research Variety, and Research Performance: Do Coauthors’ Coauthors Matter?," Journal of Informetrics, Elsevier, vol. 15(4).
    4. Fernando Martín-Alcázar & Marta Ruiz-Martínez & Gonzalo Sánchez-Gardey, 2019. "Assessing social capital in academic research teams: a measurement instrument proposal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 917-935, November.
    5. Isabel Diez-Vial & Angeles Montoro-Sanchez, 2017. "Research evolution in science parks and incubators: foundations and new trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1243-1272, March.
    6. Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
    7. Thomas C. Erren & J. Valérie Groß, 2016. "Research metrics: What about weighted citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 315-316, April.
    8. Ramakrishnan Ramanathan, 2018. "Understanding Complexity: the Curvilinear Relationship Between Environmental Performance and Firm Performance," Journal of Business Ethics, Springer, vol. 149(2), pages 383-393, May.
    9. Mengyang Wang & Lihe Chai, 2018. "Three new bibliometric indicators/approaches derived from keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 721-750, August.
    10. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
    11. Konda, Bruhan & González‐Sauri, Mario & Cowan, Robin & Yashodha, Yashodha & Chellattan Veettil, Prakashan, 2021. "Social networks and agricultural performance: A multiplex analysis of interactions among Indian rice farmers," MERIT Working Papers 2021-030, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Liu, Meijun & Jaiswal, Ajay & Bu, Yi & Min, Chao & Yang, Sijie & Liu, Zhibo & Acuña, Daniel & Ding, Ying, 2022. "Team formation and team impact: The balance between team freshness and repeat collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    13. Yun Liu & Mengya Zhang & Gupeng Zhang & Xiongxiong You, 2022. "Scientific elites versus other scientists: who are better at taking advantage of the research collaboration network?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3145-3166, June.
    14. Yanqing Shi & Si Chen & Lele Kang, 2021. "Which questions are valuable in online Q&A communities? A question’s position in a knowledge network matters," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8239-8258, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kamal Badar & Julie M. Hite & Yuosre F. Badir, 2013. "Examining the relationship of co-authorship network centrality and gender on academic research performance: the case of chemistry researchers in Pakistan," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 755-775, February.
    2. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    3. Ben Zhang & Xiaohong Wang, 2017. "Empirical study on influence of university-industry collaboration on research performance and moderating effect of social capital: evidence from engineering academics in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 257-277, October.
    4. Gregorio González-Alcaide & Héctor Pinargote & José M. Ramos, 2020. "From cut-points to key players in co-authorship networks: a case study in ventilator-associated pneumonia research," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 707-733, May.
    5. Loarne-Lemaire, Séverine Le & Bertrand, Gaël & Razgallah, Meriam & Maalaoui, Adnane & Kallmuenzer, Andreas, 2021. "Women in innovation processes as a solution to climate change: A systematic literature review and an agenda for future research," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    6. Cornelius J. König & Clemens B. Fell & Linus Kellnhofer & Gabriel Schui, 2015. "Are there gender differences among researchers from industrial/organizational psychology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1931-1952, December.
    7. Bordons, María & Aparicio, Javier & González-Albo, Borja & Díaz-Faes, Adrián A., 2015. "The relationship between the research performance of scientists and their position in co-authorship networks in three fields," Journal of Informetrics, Elsevier, vol. 9(1), pages 135-144.
    8. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    9. Frandsen, Tove Faber & Jacobsen, Rasmus Højbjerg & Wallin, Johan A. & Brixen, Kim & Ousager, Jakob, 2015. "Gender differences in scientific performance: A bibliometric matching analysis of Danish health sciences Graduates," Journal of Informetrics, Elsevier, vol. 9(4), pages 1007-1017.
    10. Lorna Wildgaard & Jesper W. Schneider & Birger Larsen, 2014. "A review of the characteristics of 108 author-level bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 125-158, October.
    11. Fiorenzo Franceschini & Domenico Maisano, 2011. "Bibliometric positioning of scientific manufacturing journals: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 463-485, February.
    12. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The Hirsch spectrum: A novel tool for analyzing scientific journals," Journal of Informetrics, Elsevier, vol. 4(1), pages 64-73.
    13. Li, Eldon Y. & Liao, Chien Hsiang & Yen, Hsiuju Rebecca, 2013. "Co-authorship networks and research impact: A social capital perspective," Research Policy, Elsevier, vol. 42(9), pages 1515-1530.
    14. Rodrigo Costas & María Bordons, 2008. "Is g-index better than h-index? An exploratory study at the individual level," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 267-288, November.
    15. Nadeem Siddique & Shafiq Ur Rehman & Shakil Ahmad & Khalid Mahmood & Muhammad Ajmal Khan & Hafiz Muhammad Adil & Abid Iqbal & Asif Altaf, 2023. "Research Productivity of Pakistani Female LIS Authors, 1977 to 2020: A Bibliometric Analysis," SAGE Open, , vol. 13(4), pages 21582440231, November.
    16. Vieira, E.S. & Gomes, J.A.N.F., 2010. "A research impact indicator for institutions," Journal of Informetrics, Elsevier, vol. 4(4), pages 581-590.
    17. van Eck, Nees Jan & Waltman, Ludo, 2008. "Generalizing the h- and g-indices," Journal of Informetrics, Elsevier, vol. 2(4), pages 263-271.
    18. van Eck, N.J.P. & Waltman, L., 2008. "Generalizing the h- and g-indices," ERIM Report Series Research in Management ERS-2008-049-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    19. Nuha Zamzami & Andrea Schiffauerova, 2017. "The impact of individual collaborative activities on knowledge creation and transmission," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1385-1413, June.
    20. Fiorenzo Franceschini & Domenico Maisano & Anna Perotti & Andrea Proto, 2010. "Analysis of the ch-index: an indicator to evaluate the diffusion of scientific research output by citers," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 203-217, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1652-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.