IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v151y2025ics0264999325002111.html

Measuring domination in matching-network configurations

Author

Listed:
  • Cui, Zhiwei
  • Hwang, Yan-An

Abstract

A matching-network configuration consists of a directed network with a finite set of nodes, a finite set of agents, and a matching between the set of nodes and the set of agents. The directed network represents the dominance or dependence relationships between entities, and the matching represents agents’ ownership of entities. We introduce four relational power measures for the set of agents, the β-measure, the score-measure, the β-hybrid-measure, and the score-hybrid-measure. When each agent is matched to only one node, and vice versa, the β- and β-hybrid-measures are reduced to the β-measure in the directed network, and the score- and score-hybrid-measures are reduced to the score-measure in the directed network. We show that the four relational power measures can be axiomatically characterized by the same symmetry axiom, the same individual independence (or individual monotonicity) axiom, and four different efficiency axioms.

Suggested Citation

  • Cui, Zhiwei & Hwang, Yan-An, 2025. "Measuring domination in matching-network configurations," Economic Modelling, Elsevier, vol. 151(C).
  • Handle: RePEc:eee:ecmode:v:151:y:2025:i:c:s0264999325002111
    DOI: 10.1016/j.econmod.2025.107216
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999325002111
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2025.107216?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Oecd, 2006. "Risk Effects of PSE Crop Measures," OECD Papers, OECD Publishing, vol. 5(11), pages 1-49.
    2. van den Brink, René & Rusinowska, Agnieszka, 2024. "Degree centrality, von Neumann–Morgenstern expected utility and externalities in networks," European Journal of Operational Research, Elsevier, vol. 319(2), pages 669-677.
    3. Brink, René van den & Rusinowska, Agnieszka, 2021. "The degree ratio ranking method for directed graphs," European Journal of Operational Research, Elsevier, vol. 288(2), pages 563-575.
    4. Bouyssou, Denis & Marchant, Thierry, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Journal of Informetrics, Elsevier, vol. 10(1), pages 183-199.
    5. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    6. Chambers, Christopher P. & Miller, Alan D., 2014. "Scholarly influence," Journal of Economic Theory, Elsevier, vol. 151(C), pages 571-583.
    7. Hyun H. Son & Nanak Kakwani, 2006. "Measuring the Impact of Price Changes on Poverty," Working Papers 33, International Policy Centre.
    8. Quesada, Antonio, 2009. "Monotonicity and the Hirsch index," Journal of Informetrics, Elsevier, vol. 3(2), pages 158-160.
    9. van den Brink, René & Rusinowska, Agnieszka, 2022. "The degree measure as utility function over positions in graphs and digraphs," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1033-1044.
    10. Denis Bouyssou & Marchant Thierry, 2018. "The β -ranking and the β -measure for directed networks: Axiomatic characterizations," Post-Print hal-02096392, HAL.
    11. Bouyssou, D. & Marchant, T., 2010. "Consistent bibliometric rankings of authors and of journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 365-378.
    12. Flores-Szwagrzak, Karol & Treibich, Rafael, 2015. "Co-authorship and the Measurement of Individual Productivity," Discussion Papers on Economics 17/2015, University of Southern Denmark, Department of Economics.
    13. repec:hal:pseptp:halshs-04188289 is not listed on IDEAS
    14. Zhiwei Cui & Yan-An Hwang & Ding-Cheng You, 2021. "Axiomatizations of the $$\beta $$ β and the score measures in networks," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(2), pages 399-418, June.
    15. Hwang, Yan-An, 2010. "Marginal monotonicity solution of NTU games," Games and Economic Behavior, Elsevier, vol. 70(2), pages 502-508, November.
    16. Quesada, Antonio, 2011. "Axiomatics for the Hirsch index and the Egghe index," Journal of Informetrics, Elsevier, vol. 5(3), pages 476-480.
    17. Hui, C.H. & Lo, C.F. & Wong, T.C. & Man, P.K., 2006. "Measuring provisions for collateralised retail lending," Journal of Economics and Business, Elsevier, vol. 58(4), pages 343-361.
    18. Woeginger, Gerhard J., 2008. "An axiomatic characterization of the Hirsch-index," Mathematical Social Sciences, Elsevier, vol. 56(2), pages 224-232, September.
    19. Sune Lehmann & Andrew D. Jackson & Benny E. Lautrup, 2006. "Measures for measures," Nature, Nature, vol. 444(7122), pages 1003-1004, December.
    20. Antonio Quesada, 2011. "Further characterizations of the Hirsch index," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 107-114, April.
    21. Thierry Marchant, 2009. "Score‐based bibliometric rankings of authors," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(6), pages 1132-1137, June.
    22. Kalai, Ehud & Samet, Dov, 1985. "Monotonic Solutions to General Cooperative Games," Econometrica, Econometric Society, vol. 53(2), pages 307-327, March.
    23. René Brink & Peter Borm & Ruud Hendrickx & Guillermo Owen, 2008. "Characterizations of the β- and the Degree Network Power Measure," Theory and Decision, Springer, vol. 64(4), pages 519-536, June.
    24. Nanak Kakwani & Hyun H. Son, 2006. "A note on measuring unemployment," Working Papers 28, International Policy Centre.
    25. Han, Weibin & Deemen, Adrian Van, 2025. "The Copeland ratio ranking method for abstract decision problems," European Journal of Operational Research, Elsevier, vol. 323(3), pages 966-974.
    26. Motty Perry & Philip J. Reny, 2016. "How to Count Citations If You Must," American Economic Review, American Economic Association, vol. 106(9), pages 2722-2741, September.
    Full references (including those not matched with items on IDEAS)

    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. Karol Flores-Szwagrzak & Rafael Treibich, 2020. "Teamwork and Individual Productivity," Management Science, INFORMS, vol. 66(6), pages 2523-2544, June.
    2. Osório, António (António Miguel), 2019. "The value and credits of n-authors publications," Working Papers 2072/376026, Universitat Rovira i Virgili, Department of Economics.
    3. L'aszl'o Csat'o, 2019. "Journal ranking should depend on the level of aggregation," Papers 1904.06300, arXiv.org, revised Sep 2019.
    4. Bouyssou, Denis & Marchant, Thierry, 2014. "An axiomatic approach to bibliometric rankings and indices," Journal of Informetrics, Elsevier, vol. 8(3), pages 449-477.
    5. Ruijie Wang & Yuhao Zhou & An Zeng, 2023. "Evaluating scientists by citation and disruption of their representative works," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1689-1710, March.
    6. Csató, László, 2019. "Journal ranking should depend on the level of aggregation," Journal of Informetrics, Elsevier, vol. 13(4).
    7. Bouyssou, Denis & Marchant, Thierry, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Journal of Informetrics, Elsevier, vol. 10(1), pages 183-199.
    8. Antonin Macé, 2023. "The Limits of Citation Counts," Working Papers halshs-01630095, HAL.
    9. Sylvain Béal & Eric Rémila & Philippe Solal & Sylvain Ferrières, 2016. "An axiomatization of the iterated h-index and applications to sport rankings," Working Papers hal-01394818, HAL.
    10. Mark Levene & Trevor Fenner & Judit Bar-Ilan, 2019. "Characterisation of the $$\chi$$χ-index and the rec-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 885-896, August.
    11. Brandão, Luana Carneiro & Soares de Mello, João Carlos Correia Baptista, 2019. "A multi-criteria approach to the h-index," European Journal of Operational Research, Elsevier, vol. 276(1), pages 357-363.
    12. Ana Paula dos Santos Rubem & Ariane Lima Moura & João Carlos Correia Baptista Soares de Mello, 2015. "Comparative analysis of some individual bibliometric indices when applied to groups of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1019-1035, January.
    13. Morretta, Valentina & Vurchio, Davide & Carrazza, Stefano, 2022. "The socio-economic value of scientific publications: The case of Earth Observation satellites," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    14. Guoliang Lyu & Ganwei Shi, 2019. "On an approach to boosting a journal’s citation potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1387-1409, September.
    15. Maria-Victoria Uribe-Bohorquez & Juan-Camilo Rivera-Ordóñez & Isabel-María García-Sánchez, 2023. "Gender disparities in accounting academia: analysis from the lens of publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 3827-3865, July.
    16. Mukherjee, Conan & Alam, Aftab, 2016. "On Evaluating Author's Performance by Publications: An Axiomatic Study," Working Papers 2016:14, Lund University, Department of Economics, revised 12 May 2017.
    17. Chambers, Christopher P. & Miller, Alan D., 2014. "Scholarly influence," Journal of Economic Theory, Elsevier, vol. 151(C), pages 571-583.
    18. J. Atsu Amegashie, 2020. "Citations And Incentives In Academic Contests," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1233-1244, July.
    19. Conan Mukherjee & Ranojoy Basu & Aftab Alam, 2020. "A measure of authorship by publications," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 354-361, April.
    20. Adachi, Tsuyoshi & Kongo, Takumi, 2015. "Further axiomatizations of Egghe's g-index," Journal of Informetrics, Elsevier, vol. 9(4), pages 839-844.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    Statistics

    Access and download statistics

    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:eee:ecmode:v:151:y:2025:i:c:s0264999325002111. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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.