Stochastic Network Games

Stochastic Network Games is a type of network game in which the interactions, payoffs, or network structure evolve over time according to probabilistic rules, thereby incorporating uncertainty and dynamic randomness into the strategic decision-making of rational agents.

179

Publications

7.1K

Citations

434

Authors

232

Institutions

Publications per year

2017–2026

68

Authors

434

  1. EA
    Eitan Altman

    Institut national de recherche en sciences et technologies du numérique, France

    5 publications · 199 citations

    5

    h-index

  2. LW
    Long Wang

    Peking University, China

    5 publications · 644 citations

    5

    h-index

  3. CL
    Chuang Lin

    Tsinghua University, China

    4 publications · 109 citations

    4

    h-index

  4. YH
    Yézékaël Hayel

    Université d'Avignon et des Pays de Vaucluse, France

    4 publications · 94 citations

    4

    h-index

  5. MV
    Mihaela van der Schaar

    University of California, Los Angeles, United States

    3 publications · 72 citations

    3

    h-index

1–5 of 434

Venues

  1. 7

    h-index

  2. Physical Review E

    PRE · 5 publications · 619 citations

    5

    h-index

  3. IEEE Transactions on Vehicular Technology

    4 publications · 175 citations

    4

    h-index

  4. Operations Research

    4 publications · 256 citations

    4

    h-index

  5. Applied Mathematics and Computation

    3 publications · 118 citations

    3

    h-index

1–5