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: "convergence of tâtonnement in fisher markets"
  Abstract: Analyzing simple and natural price-adjustment processes that converge to a market equilibrium is a fundamental question in economics. Such an analysis may have implications in economic theory, computational economics, and distributed systems. Tatonnement, proposed by Walras in 1874, is a process by which prices go up in response to excess demand, and down in response to excess supply. This paper analyzes the convergence of a time-discrete tatonnement process, a problem that recently attracted considerable attention of computer scientists. We prove that the simple tatonnement process that we consider converges (efficiently) to equilibrium pri ces and allocation in markets with nested CES-Leontief utilities, generalizing some of the previous convergence proofs for more restricted types of utility functions.

Connected through hyperedge HE-1 (induced by source paper "proportional dynamics in exchange economies"):
  with members:
    - "an alternating algorithm for finding linear arrow debreu market equilibrium"
    - "universal growth in production economies"
    - "a strongly polynomial algorithm for linear exchange markets"
    - "tracing equilibrium in dynamic markets via distributed adaptation"
    - "dynamics of distributed updating in fisher markets"
    - "selling complementary goods dynamics efficiency and revenue"
    - "best response dynamics in combinatorial auctions with item bidding"
    - "the price of anarchy in auctions"

Connected through hyperedge HE-2 (induced by source paper "auction algorithms for market equilibrium with weak gross substitute demands"):
  with members:
    - "on fair division of indivisible items"
    - "finding fair and efficient allocations"
    - "convex program duality fisher markets and nash social welfare"
    - "nash social welfare for indivisible items under separable piecewise linear concave utilities"
    - "nash social welfare matrix permanent and stable polynomials"
    - "ascending price algorithms for unknown markets"
    - "tatonnement in ongoing markets of complementary goods"
    - "a combinatorial polynomial algorithm for the linear arrow debreu market"

Connected through hyperedge HE-3 (induced by source paper "markets for public decision making"):
  with members:
    - "nash equilibria for quadratic voting"

Connected through hyperedge HE-4 (induced by source paper "ascending price algorithms for unknown markets"):
  with members:
    - "approximating the nash social welfare with budget additive valuations"
    - "convex program duality fisher markets and nash social welfare"
    - "nash social welfare for indivisible items under separable piecewise linear concave utilities"
    - "an improved combinatorial polynomial algorithm for the linear arrow debreu market"
    - "competitive algorithms from competitive equilibria non clairvoyant scheduling under polyhedral constraints"
    - "a rational convex program for linear arrow debreu markets"
    - "tatonnement in ongoing markets of complementary goods"
    - "the complexity of non monotone markets"

Connected through hyperedge HE-5 (induced by source paper "budgetary effects on pricing equilibrium in online markets"):
  with members:
    - "price competition in online combinatorial markets"
    - "the pricing war continues on competitive multi item pricing"
    - "on the efficiency of the walrasian mechanism"
    - "ascending auctions and walrasian equilibrium"
    - "combinatorial auctions with decreasing marginal utilities"

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)