IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v117y2018i1d10.1007_s11192-018-2879-3.html
   My bibliography  Save this article

Influence of network-based structural and power diversity on research performance

Author

Listed:
  • Alireza Abbasi

    (UNSW Australia)

  • Mahdi Jalili

    (RMIT University)

  • Abolghasem Sadeghi-Niaraki

    (K.N. Toosi University of Technology
    Sejong University)

Abstract

With an increase in studies of actors’ collaborative activities on their performance very few have examined the role of the structural influence of actors on their cohorts’ performance. In this study, we argue that the collaborative process involves social influence and social capital embedded within relationships and network structures amongst direct partner. We examine whether such influence is directly associated with an actor’s productivity and performance. In particular, we aim to understand how structural position of an actor’s cohorts and their structural and power diversity in a network influence the productivity and performance. Network-based centrality measures are used to evaluate the structural position. To investigate how partners of an actor in a collaboration network can influence their productivity and/or performance, we evaluate their structural diversity in the network by measuring the variance of their centrality measures. We evaluate if the variance of centrality measures of partners of a scholar influence their productivity or performance.

Suggested Citation

  • Alireza Abbasi & Mahdi Jalili & Abolghasem Sadeghi-Niaraki, 2018. "Influence of network-based structural and power diversity on research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 579-590, October.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:1:d:10.1007_s11192-018-2879-3
    DOI: 10.1007/s11192-018-2879-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2879-3
    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/s11192-018-2879-3?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. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    2. Alireza Abbasi & Jörn Altmann & Junseok Hwang, 2010. "Evaluating scholars based on their academic collaboration activities: two indices, the RC-index and the CC-index, for quantifying collaboration activities of researchers and scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 1-13, April.
    3. Hai Zhuge & Junsheng Zhang, 2010. "Topological centrality and its e-Science applications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1824-1841, September.
    4. Alireza Abbasi & Jorn Altmann & Junseok Hwang, 2009. "Evaluating Scholars Based on their Academic Collaboration Activities: The RC-Index and CC-Index for Quantifying Collaboration Activities of Researchers and Scientific Communities," TEMEP Discussion Papers 200915, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2009.
    5. 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.
    6. Lü, Linyuan & Zhou, Tao, 2011. "Link prediction in complex networks: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1150-1170.
    7. Asif‐ul Haque & Paul Ginsparg, 2009. "Positional effects on citation and readership in arXiv," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2203-2218, November.
    8. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    9. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2016. "A farewell to the MNCS and like size-independent indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 646-651.
    10. Linton Freeman, 1980. "The gatekeeper, pair-dependency and structural centrality," Quality & Quantity: International Journal of Methodology, Springer, vol. 14(4), pages 585-592, August.
    11. Abbasi, Alireza & Jaafari, Ali, 2013. "Research impact and scholars’ geographical diversity," Journal of Informetrics, Elsevier, vol. 7(3), pages 683-692.
    12. 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.
    13. Yichuan Jiang, 2008. "Locating active actors in the scientific collaboration communities based on interaction topology analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(3), pages 471-482, March.
    14. repec:dau:papers:123456789/11779 is not listed on IDEAS
    15. Saarela, Mirka & Kärkkäinen, Tommi & Lahtonen, Tommi & Rossi, Tuomo, 2016. "Expert-based versus citation-based ranking of scholarly and scientific publication channels," Journal of Informetrics, Elsevier, vol. 10(3), pages 693-718.
    16. Alireza Abbasi, 2013. "h-Type hybrid centrality measures for weighted networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 633-640, August.
    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. 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.

    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. Alireza Abbasi & Liaquat Hossain & Shahadat Uddin & Kim J. R. Rasmussen, 2011. "Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 687-710, November.
    2. 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.
    3. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    4. Alireza Abbasi, 2013. "h-Type hybrid centrality measures for weighted networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 633-640, August.
    5. 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.
    6. Abbasi, Alireza & Jaafari, Ali, 2013. "Research impact and scholars’ geographical diversity," Journal of Informetrics, Elsevier, vol. 7(3), pages 683-692.
    7. Ebadi, Ashkan & Schiffauerova, Andrea, 2015. "How to become an important player in scientific collaboration networks?," Journal of Informetrics, Elsevier, vol. 9(4), pages 809-825.
    8. 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.
    9. Lee, O-Joun & Jeon, Hyeon-Ju & Jung, Jason J., 2021. "Learning multi-resolution representations of research patterns in bibliographic networks," Journal of Informetrics, Elsevier, vol. 15(1).
    10. Sandra Cristina Oliveira & Juliana Cobre & Danilo Florentino Pereira, 2021. "A measure of reliability for scientific co-authorship networks using fuzzy logic," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4551-4563, June.
    11. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
    12. Chenjia Zhang & Yiping Fang & Xiujuan Chen & Tian Congshan, 2019. "Bibliometric Analysis of Trends in Global Sustainable Livelihood Research," Sustainability, MDPI, vol. 11(4), pages 1-28, February.
    13. Guijie Zhang & Luning Liu & Yuqiang Feng & Zhen Shao & Yongli Li, 2014. "Cext-N index: a network node centrality measure for collaborative relationship distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 291-307, October.
    14. Enrico di Bella & Luca Gandullia & Sara Preti, 2021. "Analysis of scientific collaboration network of Italian Institute of Technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8517-8539, October.
    15. Cimenler, Oguz & Reeves, Kingsley A. & Skvoretz, John, 2014. "A regression analysis of researchers’ social network metrics on their citation performance in a college of engineering," Journal of Informetrics, Elsevier, vol. 8(3), pages 667-682.
    16. Kazuki Nakajima & Kazuyuki Shudo & Naoki Masuda, 2023. "Higher-order rich-club phenomenon in collaborative research grant networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2429-2446, April.
    17. Alireza Abbasi & Jorn Altmann, 2010. "On the Correlation between Research Performance and Social Network Analysis Measures Applied to Research Collaboration Networks," TEMEP Discussion Papers 201066, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2010.
    18. Yangson Kim & Hee Jin Lim & Soo Jeung Lee, 2014. "Applying research collaboration as a new way of measuring research performance in Korean universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 97-115, April.
    19. Tamás Sebestyén & Orsolya Hau-Horváth & Attila Varga, 2017. "How to get from the periphery into the core? The role of geographical location and scientific performance in network position in the field of neuroscience," Letters in Spatial and Resource Sciences, Springer, vol. 10(3), pages 297-325, October.
    20. Peter Mutschke & Philipp Mayr & Philipp Schaer & York Sure, 2011. "Science models as value-added services for scholarly information systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 349-364, 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:117:y:2018:i:1:d:10.1007_s11192-018-2879-3. 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.