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: "the buck passing game"
  Abstract: We consider situations where a finite number of agents want to transfer the responsibility of doing a job (the buck) to their neighbors in a social network. This can be seen as network variation of the public good model. The goal of each agent is to see the buck coming back as rarely as possible. We frame this situation as a game where players are the vertices of a directed graph and the strategy space of each player is the set of her out-neighbors. Nature assigns the buck to a random player according to a given initial distribution. Each player pays a cost that corresponds to the asymptotic expected frequency of times that she gets the buck. We consider two versions of the game. In the deterministic one each player chooses one of her out-neighbors once and for all at the beginning of the game. In the stochastic version a player chooses a probability distribution that determines which of her out-neighbors will be chosen when she passes the buck. We show that in both cases the game admits a generalized ordinal potential whose minimizers provide equilibria in pure strategies, even when the strategy set of each player is uncountable. We also show the existence of equilibria that are prior-free, in the sense that they do not depend on the initial distribution used to initially assign the buck. We provide different characterizations for the potential, we analyze fairness of equilibria, and, finally, we discuss a buck holding variant in which players want to maximize the frequency of times they hold the buck. As an application of the latter we briefly discuss the PageRank game.

Connected through hyperedge HE-1 (induced by source paper "on a centrality maximization game"):
  with members:
    - "maximizing pagerank via outlinks"

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)