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: "equilibria fixed points and complexity classes"
  Abstract: Many models from a variety of areas involve the computation of an equilibrium or fixed point of some kind. Examples include Nash equilibria in games; market equilibria; computing optimal strategies and the values of competitive games (stochastic and other games); stable configurations of neural networks; analysing basic stochastic models for evolution like branching processes and for language like stochastic context-free grammars; and models that incorporate the basic primitives of probability and recursion like recursive Markov chains. It is not known whether these problems can be solved in polynomial time. There are certain common computational principles underlying different types of equilibria, which are captured by the complexity classes PLS, PPAD, and FIXP. Representative complete problems for these classes are respectively, pure Nash equilibria in games where they are guaranteed to exist, (mixed) Nash equilibria in 2-player normal form games, and (mixed) Nash equilibria in normal form games with 3 (or more) players. This paper reviews the underlying computational principles and the corresponding classes.

Connected through hyperedge HE-1 (induced by source paper "a low complexity approach to distributed cooperative caching with geographic constraints"):
  with members:
    - "delivery latency regions in fog rans with edge caching and cloud processing"
    - "spatial multi lru caching for wireless networks with coverage overlaps"
    - "a stackelberg game for incentive proactive caching mechanisms in wireless networks"
    - "cloud and cache aided wireless networks fundamental latency trade offs"
    - "a utility optimization approach to network cache design"
    - "optimal geographic caching in cellular networks"
    - "fundamental limits of cache aided wireless bc interplay of coded caching and csit feedback"
    - "cache aided interference channels"

Connected through hyperedge HE-2 (induced by source paper "on the complexity of core kernel and bargaining set"):
  with members:
    - "graph coalition structure generation"
    - "non transferable utility coalitional games via mixed integer linear constraints"
    - "coalitional game theory for communication networks a tutorial"
    - "the cost of stability in coalitional games"
    - "computing the nucleolus of weighted voting games"

Connected through hyperedge HE-3 (induced by source paper "on the windfall and price of friendship inoculation strategies on social networks"):
  with members:
    - "graphical models for game theory"
    - "bayesian auctions with friends and foes"
    - "towards network games with social preferences"

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.CC(Computational Complexity)