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: "stability of service under time of use pricing"
  Abstract: We consider "time-of-use" pricing as a technique for matching supply and demand of temporal resources with the goal of maximizing social welfare. Relevant examples include energy, computing resources on a cloud computing platform, and charging stations for electric vehicles, among many others. A client/job in this setting has a window of time during which he needs service, and a particular value for obtaining it. We assume a stochastic model for demand, where each job materializes with some probability via an independent Bernoulli trial. Given a per-time-unit pricing of resources, any realized job will first try to get served by the cheapest available resource in its window and, failing that, will try to find service at the next cheapest available resource, and so on. Thus, the natural stochastic fluctuations in demand have the potential to lead to cascading overload events. Our main result shows that setting prices so as to optimally handle the {\em expected} demand works well: with high probability, when the actual demand is instantiated, the system is stable and the expected value of the jobs served is very close to that of the optimal offline algorithm.

Connected through hyperedge HE-1 (induced by source paper "online revenue maximization for server pricing"):
  with members:
    - "era a framework for economic resource allocation for the cloud"
    - "learning simple auctions"
    - "truthful online scheduling with commitments"
    - "the sample complexity of revenue maximization"
    - "the pseudo dimension of near optimal auctions"
    - "combinatorial auctions via posted prices"

Connected through hyperedge HE-2 (induced by source paper "pricing for online resource allocation intervals and paths"):
  with members:
    - "era a framework for economic resource allocation for the cloud"
    - "simple mechanisms for subadditive buyers via duality"
    - "prophet inequalities made easy stochastic optimization by pricing non stochastic inputs"
    - "mechanism design for subadditive agents via an ex ante relaxation"
    - "truthful online scheduling with commitments"
    - "the invisible hand of dynamic market pricing"
    - "simple mechanisms for a subadditive buyer and applications to revenue monotonicity"
    - "a simple and approximately optimal mechanism for an additive buyer"

Connected through hyperedge HE-3 (induced by source paper "truth and regret in online scheduling"):
  with members:
    - "era a framework for economic resource allocation for the cloud"
    - "truthful online scheduling with commitments"
    - "bandits with switching costs t 2 3 regret"
    - "satzilla portfolio based algorithm selection for sat"
    - "optimal mechansim design and money burning"

Connected through hyperedge HE-4 (induced by source paper "two sided facility location"):
  with members:
    - "approximating gains from trade in two sided markets via simple mechanisms"
    - "online matching haste makes waste"
    - "minimizing the continuous diameter when augmenting paths and cycles with shortcuts"
    - "dynamic matching market design"

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)