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: "efficiency and nash equilibria in a scrip system for p2p networks"
  Abstract: A model of providing service in a P2P network is analyzed. It is shown that by adding a scrip system, a mechanism that admits a reasonable Nash equilibrium that reduces free riding can be obtained. The effect of varying the total amount of money (scrip) in the system on efficiency (i.e., social welfare) is analyzed, and it is shown that by maintaining the appropriate ratio between the total amount of money and the number of agents, efficiency is maximized. The work has implications for many online systems, not only P2P networks but also a wide variety of online forums for which scrip systems are popular, but formal analyses have been lacking.

Connected through hyperedge HE-1 (induced by source paper "decentralised norm monitoring in open multi agent systems"):
  with members:
    - "optimizing scrip systems crashes altruists hoarders sybils and collusion"

Connected through hyperedge HE-2 (induced by source paper "approximation algorithm for the binary preference capacitated selfish replication game and a tight bound on its price of anarchy"):
  with members:
    - "game theoretic analysis of the hegselmann krause model for opinion dynamics in finite dimensions"
    - "strategic resource allocation for competitive influence in social networks"
    - "optimal versus nash equilibrium computation for networked resource allocation"
    - "on dynamics in selfish network creation"

Connected through hyperedge HE-3 (induced by source paper "an equilibrium analysis of scrip systems"):
  with members:
    - "optimizing scrip systems crashes altruists hoarders sybils and collusion"
    - "mean field equilibrium in dynamic games with complementarities"
    - "manipulating scrip systems sybils and collusion"
    - "optimizing scrip systems efficiency crashes hoarders and altruists"
    - "random worlds and maximum entropy"

Connected through hyperedge HE-4 (induced by source paper "optimizing scrip systems crashes altruists hoarders sybils and collusion"):
  with members:
    - "an equilibrium analysis of scrip systems"
    - "manipulating scrip systems sybils and collusion"
    - "optimizing scrip systems efficiency crashes hoarders and altruists"

Connected through hyperedge HE-5 (induced by source paper "mpo an efficient and low cost peer to peer overlay for autonomic communications"):
  with members:
    - "small world file sharing communities"

Connected through hyperedge HE-6 (induced by source paper "social norm design for information exchange systems with limited observations"):
  with members:
    - "optimizing scrip systems efficiency crashes hoarders and altruists"

Connected through hyperedge HE-7 (induced by source paper "designing practical distributed exchange for online communities"):
  with members:
    - "optimizing scrip systems efficiency crashes hoarders and altruists"

Connected through hyperedge HE-8 (induced by source paper "designing exchange for online communities"):
  with members:
    - "optimizing scrip systems efficiency crashes hoarders and altruists"

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)