human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "nash equilibria in fisher market"
  Abstract: Much work has been done on the computation of market equilibria. However due to strategic play by buyers, it is not clear whether these are actually observed in the market. Motivated by the observation that a buyer may derive a better payoff by feigning a different utility function and thereby manipulating the Fisher market equilibrium, we formulate the Fisher market game in which buyers strategize by posing different utility functions. We show that existence of a conflict-free allocation is a necessary condition for the Nash equilibria (NE) and also sufficient for the symmetric NE in this game. There are many NE with very different payoffs, and the Fisher equilibrium payoff is captured at a symmetric NE. We provide a complete polyhedral characterization of all the NE for the two-buyer market game. Surprisingly, all the NE of this game turn out to be symmetric and the corresponding payoffs constitute a piecewise linear concave curve. We also study the correlated equilibria of this game and show that third-party mediation does not help to achieve a better payoff than NE payoffs.

Connected through hyperedge HE-1 (induced by source paper "optimal nash equilibria for bandwidth allocation"):
  with members:
    - "markets for public decision making"
    - "markets beyond nash welfare for leontief utilities"
    - "nash social welfare approximation for strategic agents"

Connected through hyperedge HE-2 (induced by source paper "a market based framework for multi resource allocation in fog computing"):
  with members:
    - "price based resource allocation for edge computing a market equilibrium approach"
    - "a survey on mobile edge computing the communication perspective"
    - "nash social welfare approximation for strategic agents"
    - "the complexity of non monotone markets"
    - "fair allocation without trade"

Connected through hyperedge HE-3 (induced by source paper "nash social welfare approximation for strategic agents"):
  with members:
    - "convex program duality fisher markets and nash social welfare"
    - "a discrete and bounded envy free cake cutting protocol for four agents"
    - "an algorithmic framework for strategic fair division"
    - "incentive compatible two player cake cutting"
    - "fair allocation without trade"
    - "truthful fair division"
    - "on allocating goods to maximize fairness"

Connected through hyperedge HE-4 (induced by source paper "on the efficiency of the walrasian mechanism"):
  with members:
    - "economic efficiency requires interaction"
    - "valuation compressions in vcg based combinatorial auctions"
    - "on the inefficiency of standard multi unit auctions"
    - "bayesian games and the smoothness framework"
    - "bayesian sequential auctions"
    - "composable and efficient mechanisms"
    - "simultaneous auctions are almost efficient"
    - "sequential auctions and externalities"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.GT(Computer Science and Game Theory)