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: "stable nash equilibria of medium access games under symmetric socially altruistic behavior"
  Abstract: We consider the effects of altruistic behavior on random medium access control (slotted ALOHA) for local area communication networks. For an idealized, synchronously iterative, two-player game with asymmetric player demands, we find a Hamiltonian governing the Jacobi dynamics under purely altruistic behavior. Though the positions of the interior Nash equilibrium points do not change in the presence of altruistic behavior, the nature of their local asymptotic stability does. There is a region of partially altruistic behavior for which neither interior Nash equilibrium point is locally asymptotically stable. Also, for a power control game with a single Nash equilibrium, we show how its stability changes as a function of the altruism parameter. Variations of these altruistic game frameworks are discussed considering power (instead of throughput) based costs and linear utility functions.

Connected through hyperedge HE-1 (induced by source paper "achieving an efficient and fair equilibrium through taxation"):
  with members:
    - "two sided matching based cooperative spectrum sharing"
    - "economic analysis of crowdsourced wireless community networks"
    - "public wi fi monetization via advertising"
    - "efficient and fair collaborative mobile internet access"
    - "an integrated spectrum and information market for green cognitive communications"
    - "mine gold to deliver green cognitive communications"
    - "combining spot and futures markets a hybrid market approach to dynamic spectrum access"
    - "the robust price of anarchy of altruistic games"

Connected through hyperedge HE-2 (induced by source paper "exploiting social tie structure for cooperative wireless networking a social group utility maximization framework"):
  with members:
    - "database assisted distributed spectrum sharing"
    - "adaptive channel recommendation for opportunistic spectrum access"
    - "q csma queue length based csma ca algorithms for achieving maximum throughput and low delay in wireless networks"
    - "altruism in atomic congestion games"

Connected through hyperedge HE-3 (induced by source paper "csma local area networking under dynamic altruism"):
  with members:
    - "from altruism to non cooperation in routing 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)