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 "negative prices in network pricing games"):
  Abstract: In a Stackelberg network pricing game, a leader sets prices for a given subset of edges so as to maximize profit, after which one or multiple followers choose a shortest path from their source to sink. We study the counter-intuitive phenomenon that the use of negative prices by the leader may in fact increase his profit. In doing so, we answer the following two questions. First, how much more profit can the leader earn by setting negative prices? Second, for which network topologies can the profit be increased by using negative prices? Our main result shows that the profit with negative prices can be a factor $\Theta(\log (m\cdot\bar k))$ larger than the maximum profit with positive prices, where $m$ is the number of priceable edges in the graph and $\bar k \leq 2^m$ the number of followers. In particular, this factor cannot be bounded for the single follower case, and can even grow linearly in $m$ if the number of followers is large. Our second result shows that series-parallel graphs with a single follower and Stackelberg games with matroid followers are immune to the negative price paradox.

Includes members:
  Member "toll caps in privatized road networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "network investment game with wardrop followers")
  Member "inefficiencies in network models a graph theoretic perspective":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a characterization of undirected graphs admitting optimal cost shares")
  Member "approximate revenue maximization with multiple items":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a permutation equivariant neural network architecture for auction design")
  Member "matroids are immune to braess paradox":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "path deviations outperform approximate stability in heterogeneous congestion games")
  Member "new complexity results and algorithms for the minimum tollbooth problem":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the minimum tollbooth problem in atomic network congestion games with unsplittable flows")
  Member "stackelberg shortest path tree game revisited":
    also connected through other hyperedges:
      (none)
  Member "the stackelberg minimum spanning tree game":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "network investment game with wardrop followers")
  Member "stackelberg network pricing is hard to approximate":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "specializations and generalizations of the stackelberg minimum spanning tree game")

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)