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: "network cournot competition"
  Abstract: Cournot competition is a fundamental economic model that represents firms competing in a single market of a homogeneous good. Each firm tries to maximize its utility---a function of the production cost as well as market price of the product---by deciding on the amount of production. In today's dynamic and diverse economy, many firms often compete in more than one market simultaneously, i.e., each market might be shared among a subset of these firms. In this situation, a bipartite graph models the access restriction where firms are on one side, markets are on the other side, and edges demonstrate whether a firm has access to a market or not. We call this game \emph{Network Cournot Competition} (NCC). In this paper, we propose algorithms for finding pure Nash equilibria of NCC games in different situations. First, we carefully design a potential function for NCC, when the price functions for markets are linear functions of the production in that market. However, for nonlinear price functions, this approach is not feasible. We model the problem as a nonlinear complementarity problem in this case, and design a polynomial-time algorithm that finds an equilibrium of the game for strongly convex cost functions and strongly monotone revenue functions. We also explore the class of price functions that ensures strong monotonicity of the revenue function, and show it consists of a broad class of functions. Moreover, we discuss the uniqueness of equilibria in both of these cases which means our algorithms find the unique equilibria of the games. Last but not least, when the cost of production in one market is independent from the cost of production in other markets for all firms, the problem can be separated into several independent classical \emph{Cournot Oligopoly} problems. We give the first combinatorial algorithm for this widely studied problem.

Connected through hyperedge HE-1 (induced by source paper "governance of social welfare in networked markets"):
  with members:
    - "price competition in networked markets how do monopolies impact social welfare"

Connected through hyperedge HE-2 (induced by source paper "prior independent equilibria and linear multi dimensional bayesian games"):
  with members:
    - "graphical models for game theory"
    - "prior independent auctions for risk averse agents"
    - "multi games and a double game extension of the prisoner s dilemma"
    - "the robust price of anarchy of altruistic games"
    - "price of anarchy for greedy auctions"

Connected through hyperedge HE-3 (induced by source paper "the price of fragmentation in mobility on demand services"):
  with members:
    - "pricing and optimization in shared vehicle systems an approximation framework"
    - "price competition in networked markets how do monopolies impact social welfare"
    - "on the role of a market maker in networked cournot competition"
    - "asymptotically optimal algorithms for one to one pickup and delivery problems with applications to transportation systems"

Connected through hyperedge HE-4 (induced by source paper "equilibrium computation in resource allocation games"):
  with members:
    - "sensitivity analysis for convex separable optimization over integral polymatroids"
    - "totally unimodular congestion games"
    - "lipschitz continuity and approximate equilibria"
    - "resource competition on integral polymatroids"
    - "efficient computation of approximate pure nash equilibria in congestion games"
    - "approximate pure nash equilibria in weighted congestion games existence efficient computation and structure"
    - "settling the complexity of computing two player nash equilibria"

Connected through hyperedge HE-5 (induced by source paper "provision of public goods on networks on existence uniqueness and centralities"):
  with members:
    - "optimal pricing in networks with externalities"

Connected through hyperedge HE-6 (induced by source paper "price competition in networked markets how do monopolies impact social welfare"):
  with members:
    - "price competition fluctuations and welfare guarantees"
    - "price competition in online combinatorial markets"
    - "the pricing war continues on competitive multi item pricing"
    - "on the efficiency of the walrasian mechanism"
    - "non price equilibria in markets of discrete goods"

Connected through hyperedge HE-7 (induced by source paper "on the role of a market maker in networked cournot competition"):
  with members:
    - "price competition in networked markets how do monopolies impact social welfare"

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)