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 "geometric network creation games"):
  Abstract: Network Creation Games are a well-known approach for explaining and analyzing the structure, quality and dynamics of real-world networks like the Internet and other infrastructure networks which evolved via the interaction of selfish agents without a central authority. In these games selfish agents which correspond to nodes in a network strategically buy incident edges to improve their centrality. However, past research on these games has only considered the creation of networks with unit-weight edges. In practice, e.g. when constructing a fiber-optic network, the choice of which nodes to connect and also the induced price for a link crucially depends on the distance between the involved nodes and such settings can be modeled via edge-weighted graphs. We incorporate arbitrary edge weights by generalizing the well-known model by Fabrikant et al.[PODC'03] to edge-weighted host graphs and focus on the geometric setting where the weights are induced by the distances in some metric space. In stark contrast to the state-of-the-art for the unit-weight version, where the Price of Anarchy is conjectured to be constant and where resolving this is a major open problem, we prove a tight non-constant bound on the Price of Anarchy for the metric version and a slightly weaker upper bound for the non-metric case. Moreover, we analyze the existence of equilibria, the computational hardness and the game dynamics for several natural metrics. The model we propose can be seen as the game-theoretic analogue of a variant of the classical Network Design Problem. Thus, low-cost equilibria of our game correspond to decentralized and stable approximations of the optimum network design.

Includes members:
  Member "on the constant price of anarchy conjecture":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the price of anarchy for high price links")
  Member "on the tree conjecture for the network creation game":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the price of anarchy for high price links")
  Member "network creation games structure vs anarchy":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the price of anarchy for high price links")
  Member "selfish network creation with non uniform edge cost":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the tree conjecture for the network creation game")
  Member "locality based network creation games":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "network creation games with local information and edge swaps")
  Member "on selfish creation of robust networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the tree conjecture for the network creation game")
  Member "strategic network formation with attack and immunization":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "network formation under random attack and probabilistic spread")
  Member "network creation games think global act local":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "network creation games with local information and edge swaps")

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)