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Allocation rules for coalitional network games

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  • CAULIER, Jean-François
  • MAULEON, Ana
  • VANNETELBOSCH, Vincent

Abstract

Coalitional network games are real-valued functions defined on a set of players organized into a network and a coalition structure. We adopt a flexible approach assuming that players organize themselves the best way possible by forming the efficient coalitional network structure. We propose two allocation rules that distribute the value of the efficient coalitional network structure: the atom-based flexible coalitional network allocation rule and the player-based flexible coalitional network allocation rule.
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Suggested Citation

  • CAULIER, Jean-François & MAULEON, Ana & VANNETELBOSCH, Vincent, 2015. "Allocation rules for coalitional network games," LIDAM Reprints CORE 2718, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvrp:2718
    Note: In : Mathematical Social Sciences, 78, 2015, p. 80-88
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    Cited by:

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    3. Mohammad Abu‐zaineh & Sameera Awawda, 2022. "Measurement of Social Welfare and Inequality in Presence of Partially-ordered Variables," Working Papers hal-03904449, HAL.
    4. Sokolov, Denis, 2022. "Shapley value for TU-games with multiple memberships and externalities," Mathematical Social Sciences, Elsevier, vol. 119(C), pages 76-90.
    5. DUJARDIN, Claire & lorant, VINCENT & THOMAS, Isabelle, 2013. "Self-assessed health of elderly people in Brussels: does the built environment matter?," LIDAM Discussion Papers CORE 2013048, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Ana Mauleon & Vincent Vannetelbosch, 2013. "Relative Concerns and Delays in Bargaining with Private Information," Games, MDPI, vol. 4(3), pages 1-10, June.
    7. PAPAVASILIOU, Anthony & HE, Yi & SVOBODA, Alva, 2013. "Self-commitment of combined cycle units under electricity price uncertainty," LIDAM Discussion Papers CORE 2013051, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. José María Alonso-Meijide & Mikel à lvarez-Mozos & Maria Gloria Fiestras-Janeiro & Andres Jiménez-Losada, 2022. "Two families of values for global games," UB School of Economics Working Papers 2022/428, University of Barcelona School of Economics.
    9. Chevalier, Philippe & Lamas, Alejandro & Lu, Liang & Mlinar, Tanja, 2015. "Revenue management for operations with urgent orders," European Journal of Operational Research, Elsevier, vol. 240(2), pages 476-487.
    10. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    11. AVELLA, Pasquale & BOCCIA, Maurizio & WOLSEY, Laurence, 2013. "Single item reformulations for a vendor managed inventory routing problem: computational experience with benchmark instances," LIDAM Discussion Papers CORE 2013045, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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