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 pricing war continues on competitive multi item pricing"
  Abstract: We study a game with \emph{strategic} vendors who own multiple items and a single buyer with a submodular valuation function. The goal of the vendors is to maximize their revenue via pricing of the items, given that the buyer will buy the set of items that maximizes his net payoff. #R##N#We show this game may not always have a pure Nash equilibrium, in contrast to previous results for the special case where each vendor owns a single item. We do so by relating our game to an intermediate, discrete game in which the vendors only choose the available items, and their prices are set exogenously afterwards. #R##N#We further make use of the intermediate game to provide tight bounds on the price of anarchy for the subset games that have pure Nash equilibria; we find that the optimal PoA reached in the previous special cases does not hold, but only a logarithmic one. #R##N#Finally, we show that for a special case of submodular functions, efficient pure Nash equilibria always exist.

Connected through hyperedge HE-1 (induced by source paper "electronic markets with multiple submodular buyers"):
  with members:
    - "budgetary effects on pricing equilibrium in online markets"
    - "price competition in online combinatorial markets"

Connected through hyperedge HE-2 (induced by source paper "seasonal goods and spoiled milk pricing for a limited shelf life"):
  with members:
    - "pricing policies for selling indivisible storable goods to strategic consumers"
    - "budgetary effects on pricing equilibrium in online markets"
    - "price competition in online combinatorial markets"

Connected through hyperedge HE-3 (induced by source paper "efficiency and complexity of price competition among single product vendors"):
  with members:
    - "budgetary effects on pricing equilibrium in online markets"
    - "price competition in online combinatorial markets"
    - "price competition in networked markets how do monopolies impact social welfare"
    - "enforcing efficient equilibria in network design games via subsidies"
    - "the cost of stability in coalitional games"
    - "a new multilayered pcp and the hardness of hypergraph vertex cover"

Connected through hyperedge HE-4 (induced by source paper "budgetary effects on pricing equilibrium in online markets"):
  with members:
    - "convergence of tâtonnement in fisher markets"
    - "price competition in online combinatorial markets"
    - "on the efficiency of the walrasian mechanism"
    - "ascending auctions and walrasian equilibrium"
    - "combinatorial auctions with decreasing marginal utilities"

Connected through hyperedge HE-5 (induced by source paper "price competition in networked markets how do monopolies impact social welfare"):
  with members:
    - "network cournot competition"
    - "price competition fluctuations and welfare guarantees"
    - "price competition in online combinatorial markets"
    - "on the efficiency of the walrasian mechanism"
    - "non price equilibria in markets of discrete goods"

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)