human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "efficiency and complexity of price competition among single product vendors"):
  Abstract: Motivated by recent progress on pricing in the AI literature, we study marketplaces that contain multiple vendors offering identical or similar products and unit-demand buyers with different valuations on these vendors. The objective of each vendor is to set the price of its product to a fixed value so that its profit is maximized. The profit depends on the vendor's price itself and the total volume of buyers that find the particular price more attractive than the price of the vendor's competitors. We model the behaviour of buyers and vendors as a two-stage full-information game and study a series of questions related to the existence, efficiency (price of anarchy) and computational complexity of equilibria in this game. To overcome situations where equilibria do not exist or exist but are highly inefficient, we consider the scenario where some of the vendors are subsidized in order to keep prices low and buyers highly satisfied.

Includes members:
  Member "budgetary effects on pricing equilibrium in online markets":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "electronic markets with multiple submodular buyers")
  Member "price competition in online combinatorial markets":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "electronic markets with multiple submodular buyers")
  Member "price competition in networked markets how do monopolies impact social welfare":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "toll caps in privatized road networks")
  Member "the pricing war continues on competitive multi item pricing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "electronic markets with multiple submodular buyers")
  Member "enforcing efficient equilibria in network design games via subsidies":
    also connected through other hyperedges:
      (none)
  Member "the cost of stability in coalitional games":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "computing the value of spatio temporal data in wholesale and retail data marketplaces")
  Member "a new multilayered pcp and the hardness of hypergraph vertex cover":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an improved algorithm for dynamic set cover")

Question: Please tell me which class the source paper 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)