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: "near rationality and competitive equilibria in networked systems"
  Abstract: A growing body of literature in networked systems research relies on game theory and mechanism design to model and address the potential lack of cooperation between self-interested users. Most game-theoretic models applied to system research only describe competitive equilibria in terms of pure Nash equilibria, that is, a situation where the strategy of each user is deterministic, and is her best response to the strategies of all the other users. However, the assumptions necessary for a pure Nash equilibrium to hold may be too stringent for practical systems. Using three case studies on computer security, TCP congestion control, and network formation, we outline the limits of game-theoretic models relying on Nash equilibria, and we argue that considering competitive equilibria of a more general form may help reconcile predictions from game-theoretic models with empirically observed behavior.

Connected through hyperedge HE-1 (induced by source paper "on approximate pure nash equilibria in weighted congestion games with polynomial latencies"):
  with members:
    - "the price of stability of weighted congestion games"
    - "computing approximate pure nash equilibria in shapley value weighted congestion games"
    - "efficient computation of approximate pure nash equilibria in congestion games"
    - "approximate pure nash equilibria in weighted congestion games existence efficient computation and structure"

Connected through hyperedge HE-2 (induced by source paper "dancing pigs or externalities measuring the rationality of security decisions"):
  with members:
    - "planning with multiple biases"
    - "procrastination with variable present bias"
    - "planning problems for sophisticated agents with present bias"
    - "your browsing behavior for a big mac economics of personal information online"

Connected through hyperedge HE-3 (induced by source paper "the price of anarchy for network formation in an adversary model"):
  with members:
    - "the price of anarchy in cooperative network creation games"
    - "bounded budget connection bbc games or how to make friends and influence people on a budget"
    - "on the cost of participating in a peer to peer network"

Connected through hyperedge HE-4 (induced by source paper "approximate pure nash equilibria in weighted congestion games existence efficient computation and structure"):
  with members:
    - "efficient coordination mechanisms for unrelated machine scheduling"
    - "efficient computation of approximate pure nash equilibria in congestion games"
    - "dynamics in near potential games"
    - "computing equilibria in anonymous games"

Connected through hyperedge HE-5 (induced by source paper "computing approximate pure nash equilibria in weighted congestion games with polynomial latency functions"):
  with members:
    - "efficient coordination mechanisms for unrelated machine scheduling"
    - "efficient computation of approximate pure nash equilibria in congestion games"
    - "computing equilibria in anonymous games"

Connected through hyperedge HE-6 (induced by source paper "efficient computation of approximate pure nash equilibria in congestion games"):
  with members:
    - "on the performance of approximate equilibria in congestion games"
    - "computing equilibria in anonymous games"

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)