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Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web

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  • Hildrun Kretschmer

    (COLLNET Borgsdorfer)

Abstract

The increasing cooperation in science, which has led to larger co-authorship networks, requires the application of new methods of analysis of social networks in bibliographic co-authorship networks as well as in networks visible on the Web. In this context, a number of interesting papers on the “Erdős Number”, which gives the shortest path (geodesic distance) between an author and the well-known Hungarian mathematician Erdős in a co-authorship network, have been published recently. This paper develops new methods concerning the position of highly productive authors in the network. Thus a relationship of distribution of these authors among the clusters in the co-authorship network could be proved to be dependent upon the size of the clusters. Highly productive authors have, on average, low geodesic distances and thus shorter length of paths to all the other authors of a specialism compared to low productive authors, whereas the influencing possibility of highly productive scientists gets distributed amongst others in the development of the specialism. A theory on the stratification in science with respect to the over random similarity of scientists collaborating with one another, previously covered with other empirical methods, could also be confirmed by the application of geodesic distances. The paper proposes that the newly developed methodology may also be applied to visible networks in future studies on the Web. Further investigation is warranted into whether co-authorship and web networks have similar structures with regards to author productivity and geodesic distances.

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  • Hildrun Kretschmer, 2004. "Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 409-420, August.
  • Handle: RePEc:spr:scient:v:60:y:2004:i:3:d:10.1023_b:scie.0000034383.86665.22
    DOI: 10.1023/B:SCIE.0000034383.86665.22
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    References listed on IDEAS

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    Cited by:

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    4. Giuditta Prato & Daniel Nepelski, 2014. "Global technological collaboration network: network analysis of international co-inventions," The Journal of Technology Transfer, Springer, vol. 39(3), pages 358-375, June.
    5. Chung Joo Chung & Han Woo Park, 2012. "Web visibility of scholars in media and communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 207-215, October.
    6. Cimenler, Oguz & Reeves, Kingsley A. & Skvoretz, John, 2015. "An evaluation of collaborative research in a college of engineering," Journal of Informetrics, Elsevier, vol. 9(3), pages 577-590.
    7. Daniel Nepelski & Giuditta De Prato, 2015. "Corporate control, location and complexity of ICT R&D: A network analysis at the city level," Urban Studies, Urban Studies Journal Limited, vol. 52(4), pages 721-737, March.
    8. Tamás Sebestyén & Attila Varga, 2013. "Research productivity and the quality of interregional knowledge networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(1), pages 155-189, August.
    9. Vinayak, & Raghuvanshi, Adarsh & kshitij, Avinash, 2023. "Signatures of capacity development through research collaborations in artificial intelligence and machine learning," Journal of Informetrics, Elsevier, vol. 17(1).
    10. M. Ausloos, 2013. "A scientometrics law about co-authors and their ranking: the co-author core," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 895-909, June.
    11. Erjia Yan & Ying Ding & Qinghua Zhu, 2010. "Mapping library and information science in China: a coauthorship network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 115-131, April.
    12. Lixin Chen & Ronald Rousseau, 2008. "Q-measures for binary divided networks: Bridges between German and English institutes in publications of the Journal of Fluid Mechanics," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 57-69, January.
    13. Šubelj, Lovro & Fiala, Dalibor & Ciglarič, Tadej & Kronegger, Luka, 2019. "Convexity in scientific collaboration networks," Journal of Informetrics, Elsevier, vol. 13(1), pages 10-31.
    14. Christopher McCarty & James W. Jawitz & Allison Hopkins & Alex Goldman, 2013. "Predicting author h-index using characteristics of the co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 467-483, August.
    15. Negin Salimi, 2017. "Quality assessment of scientific outputs using the BWM," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 195-213, July.
    16. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    17. Ronald Rousseau & Lin Zhang, 2008. "Betweenness centrality and Q-measures in directed valued networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 575-590, June.
    18. Giuditta De Prato & Daniel Nepelski, 2012. "Global R&D network. A network analysis of international R&D centres," JRC Research Reports JRC79478, Joint Research Centre, revised Nov 2012.
    19. Theresa Velden & Asif-ul Haque & Carl Lagoze, 2010. "A new approach to analyzing patterns of collaboration in co-authorship networks: mesoscopic analysis and interpretation," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 219-242, October.
    20. Liu, Jie & Ge, Huilin, 2022. "Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    21. Haiyan Hou & Hildrun Kretschmer & Zeyuan Liu, 2008. "The structure of scientific collaboration networks in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 189-202, May.
    22. Choong Kwai Fatt & Ephrance Abu Ujum & Kuru Ratnavelu, 2010. "The structure of collaboration in the Journal of Finance," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 849-860, December.
    23. Ding, Ying, 2011. "Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks," Journal of Informetrics, Elsevier, vol. 5(1), pages 187-203.
    24. 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.
    25. Yan, Erjia & Guns, Raf, 2014. "Predicting and recommending collaborations: An author-, institution-, and country-level analysis," Journal of Informetrics, Elsevier, vol. 8(2), pages 295-309.

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