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 "universal growth in production economies"):
  Abstract: We study a simple variant of the von Neumann model of an expanding economy, in which multiple producers produce goods according to their production function. The players trade their goods at the market and then use the bundles acquired as inputs for the production in the next round. We show that a simple decentralized dynamic, where players update their bids proportionally to how useful the investments were in the past round, leads to growth of the economy in the long term (whenever growth is possible) but also creates unbounded inequality, i.e. very rich and very poor players emerge. We analyze several other phenomena, such as how the relation of a player with others influences its development and the Gini index of the system.

Includes members:
  Member "selling complementary goods dynamics efficiency and revenue":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "proportional dynamics in exchange economies")
  Member "best response dynamics in combinatorial auctions with item bidding":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "proportional dynamics in exchange economies")
  Member "nash social welfare approximation for strategic agents":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fair by design matching")
  Member "the price of anarchy in auctions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "complexity theory game theory and economics the barbados lectures")
  Member "learning and efficiency in games with dynamic population":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "discovering strategic behaviors for collaborative content production in social networks")
  Member "learning in auctions regret is hard envy is easy":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning reserve prices in second price auctions")
  Member "average case performance of replicator dynamics in potential games via computing regions of attraction":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "proportional dynamics in exchange economies")
  Member "concave generalized flows with applications to market equilibria":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "algorithms for competitive division of chores")

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)