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: "cheating by duplication equilibrium requires global knowledge"
  Abstract: Distributed algorithms with rational agents have always assumed the size of the network is known to the participants before the algorithm starts. Here we address the following question: what global information must agents know a-priori about the network in order for equilibrium to be possible? We start this investigation by considering different distributed computing problems and showing how much each agent must a-priori know about $n$, the number of agents in the network, in order for distributed algorithms to be equilibria. #R##N#We prove that when $n$ is not a-priori known, equilibrium for both knowledge sharing and coloring is impossible. We provide new algorithms for both problems when $n$ is a-priori known to all agents. We further show that when agents are given a range in which the actual value of $n$ may be, different distributed problems require different such ranges in order for equilibrium to be possible. By providing algorithms that are equilibrium on the one hand and impossibility results on the other, we provide the tight range in which equilibrium is possible but beyond which there exist no equilibrium for the following common distributed problems: Leader Election, Knowledge Sharing, Coloring, Partition and Orientation.

Connected through hyperedge HE-1 (induced by source paper "the role of a priori information in networks of rational agents"):
  with members:
    - "reaching distributed equilibrium with limited id space"
    - "lower bounds on implementing robust and resilient mediators"

Connected through hyperedge HE-2 (induced by source paper "fair leader election for rational agents in asynchronous rings and networks"):
  with members:
    - "rational fair consensus in the gossip model"
    - "lower bounds on implementing robust and resilient mediators"
    - "rational secret sharing and multiparty computation extended abstract"

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.DC(Distributed, Parallel, and Cluster Computing)