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: "greedy selfish network creation"
  Abstract: We introduce and analyze greedy equilibria (GE) for the well-known model of selfish network creation by Fabrikant et al.[PODC'03]. GE are interesting for two reasons: (1) they model outcomes found by agents which prefer smooth adaptations over radical strategy-changes, (2) GE are outcomes found by agents which do not have enough computational resources to play optimally. In the model of Fabrikant et al. agents correspond to Internet Service Providers which buy network links to improve their quality of network usage. It is known that computing a best response in this model is NP-hard. Hence, poly-time agents are likely not to play optimally. But how good are networks created by such agents? We answer this question for very simple agents. Quite surprisingly, naive greedy play suffices to create remarkably stable networks. Specifically, we show that in the SUM version, where agents attempt to minimize their average distance to all other agents, GE capture Nash equilibria (NE) on trees and that any GE is in 3-approximate NE on general networks. For the latter we also provide a lower bound of 3/2 on the approximation ratio. For the MAX version, where agents attempt to minimize their maximum distance, we show that any GE-star is in 2-approximate NE and any GE-tree having larger diameter is in 6/5-approximate NE. Both bounds are tight. We contrast these positive results by providing a linear lower bound on the approximation ratio for the MAX version on general networks in GE. This result implies a locality gap of $\Omega(n)$ for the metric min-max facility location problem, where n is the number of clients.

Connected through hyperedge HE-1 (induced by source paper "geometric network creation games"):
  with members:
    - "on the constant price of anarchy conjecture"
    - "on the tree conjecture for the network creation game"
    - "network creation games structure vs anarchy"
    - "selfish network creation with non uniform edge cost"
    - "locality based network creation games"
    - "on selfish creation of robust networks"
    - "strategic network formation with attack and immunization"
    - "network creation games think global act local"

Connected through hyperedge HE-2 (induced by source paper "on the tree conjecture for the network creation game"):
  with members:
    - "on the constant price of anarchy conjecture"
    - "network creation games structure vs anarchy"
    - "selfish network creation with non uniform edge cost"
    - "on strong equilibria and improvement dynamics in network creation games"
    - "locality based network creation games"
    - "on selfish creation of robust networks"
    - "strategic network formation with attack and immunization"
    - "a bounded budget network creation game"

Connected through hyperedge HE-3 (induced by source paper "selfish network creation with non uniform edge cost"):
  with members:
    - "locality based network creation games"
    - "network creation games think global act local"
    - "quality of service in network creation games"
    - "network formation games with heterogeneous players and the internet structure"
    - "tree nash equilibria in the network creation game"
    - "on dynamics in selfish network creation"

Connected through hyperedge HE-4 (induced by source paper "on strong equilibria and improvement dynamics in network creation games"):
  with members:
    - "on the tree conjecture for the network creation game"
    - "selfish network creation with non uniform edge cost"
    - "tree nash equilibria in the network creation game"
    - "on dynamics in selfish network creation"

Connected through hyperedge HE-5 (induced by source paper "on selfish creation of robust networks"):
  with members:
    - "strategic network formation with attack and immunization"
    - "a bounded budget network creation game"
    - "network formation games with heterogeneous players and the internet structure"
    - "formation games of reliable networks"
    - "the price of anarchy in bilateral network formation in an adversary model"
    - "on dynamics in selfish network creation"
    - "the price of anarchy for network formation in an adversary model"
    - "bounded distance network creation games"

Connected through hyperedge HE-6 (induced by source paper "locality based network creation games"):
  with members:
    - "the max distance network creation game on general host graphs"
    - "tree nash equilibria in the network creation game"
    - "on dynamics in selfish network creation"
    - "bounded distance network creation games"
    - "the price of anarchy in cooperative network creation games"
    - "bounded budget connection bbc games or how to make friends and influence people on a budget"

Connected through hyperedge HE-7 (induced by source paper "network creation games think global act local"):
  with members:
    - "locality based network creation games"
    - "tree nash equilibria in the network creation game"
    - "on dynamics in selfish network creation"

Connected through hyperedge HE-8 (induced by source paper "strategic network formation with attack and immunization"):
  with members:
    - "efficient best response computation for strategic network formation under attack"
    - "the price of anarchy for network formation in an adversary model"

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)