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 stackelberg minimum spanning tree game"
  Abstract: We consider a one-round two-player network pricing game, the Stackelberg Minimum Spanning Tree game or StackMST.#R##N##R##N#The game is played on a graph (representing a network), whose edges are colored either red or blue, and where the red edges have a given fixed cost (representing the competitor’s prices). The first player chooses an assignment of prices to the blue edges, and the second player then buys the cheapest possible minimum spanning tree, using any combination of red and blue edges. The goal of the first player is to maximize the total price of purchased blue edges. This game is the minimum spanning tree analog of the well-studied Stackelberg shortest-path game.#R##N##R##N#We analyze the complexity and approximability of the first player’s best strategy in StackMST. In particular, we prove that the problem is APX-hard even if there are only two different red costs, and give an approximation algorithm whose approximation ratio is at most min {k,1+ln b,1+ln W}, where k is the number of distinct red costs, b is the number of blue edges, and W is the maximum ratio between red costs. We also give a natural integer linear programming formulation of the problem, and show that the integrality gap of the fractional relaxation asymptotically matches the approximation guarantee of our algorithm.

Connected through hyperedge HE-1 (induced by source paper "negative prices in network pricing games"):
  with members:
    - "toll caps in privatized road networks"
    - "inefficiencies in network models a graph theoretic perspective"
    - "approximate revenue maximization with multiple items"
    - "matroids are immune to braess paradox"
    - "new complexity results and algorithms for the minimum tollbooth problem"
    - "stackelberg shortest path tree game revisited"
    - "stackelberg network pricing is hard to approximate"
    - "improved hardness of approximation for stackelberg shortest path pricing"

Connected through hyperedge HE-2 (induced by source paper "network investment game with wardrop followers"):
  with members:
    - "toll caps in privatized road networks"
    - "computing equilibria in atomic splittable polymatroid congestion games with convex costs"
    - "stackelberg network pricing games"

Connected through hyperedge HE-3 (induced by source paper "assortment optimisation under a general discrete choice model a tight analysis of revenue ordered assortments"):
  with members:
    - "assortment optimization under a multinomial logit model with position bias and social influence"
    - "learning mixtures of ranking models"

Connected through hyperedge HE-4 (induced by source paper "specializations and generalizations of the stackelberg minimum spanning tree game"):
  with members:
    - "the stackelberg minimum spanning tree game on planar and bounded treewidth graphs"
    - "stackelberg network pricing is hard to approximate"
    - "improved hardness of approximation for stackelberg shortest path pricing"
    - "stackelberg network pricing games"

Connected through hyperedge HE-5 (induced by source paper "the stackelberg minimum spanning tree game on planar and bounded treewidth graphs"):
  with members:
    - "specializations and generalizations of the stackelberg minimum spanning tree game"
    - "improved hardness of approximation for stackelberg shortest path pricing"
    - "stackelberg network pricing games"
    - "an approximation algorithm for stackelberg network pricing"

Connected through hyperedge HE-6 (induced by source paper "stackelberg shortest path tree game revisited"):
  with members:
    - "stackelberg network pricing is hard to approximate"
    - "improved hardness of approximation for stackelberg shortest path pricing"
    - "stackelberg network pricing games"

Connected through hyperedge HE-7 (induced by source paper "stackelberg network pricing is hard to approximate"):
  with members:
    - "stackelberg network pricing games"

Connected through hyperedge HE-8 (induced by source paper "stackelberg pricing is hard to approximate within 2 epsilon"):
  with members:
    - "the stackelberg minimum spanning tree game on planar and bounded treewidth graphs"
    - "stackelberg network pricing is hard to approximate"
    - "improved hardness of approximation for stackelberg shortest path pricing"
    - "stackelberg network pricing games"

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)