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: "bounded distance network creation games"
  Abstract: A network creation game simulates a decentralized and non-cooperative building of a communication network. Informally, there are $n$ players sitting on the network nodes, which attempt to establish a reciprocal communication by activating, incurring a certain cost, any of their incident links. The goal of each player is to have all the other nodes as close as possible in the resulting network, while buying as few links as possible. According to this intuition, any model of the game must then appropriately address a balance between these two conflicting objectives. Motivated by the fact that a player might have a strong requirement about its centrality in the network, in this paper we introduce a new setting in which if a player maintains its (either maximum or average) distance to the other nodes within a given associated bound, then its cost is simply equal to the number of activated edges, otherwise its cost is unbounded. We study the problem of understanding the structure of associated pure Nash equilibria of the resulting games, that we call MaxBD and SumBD, respectively. For both games, we show that computing the best response of a player is an NP-hard problem. Next, we show that when distance bounds associated with players are non-uniform, then equilibria can be arbitrarily bad. On the other hand, for MaxBD, we show that when nodes have a uniform bound $R$ on the maximum distance, then the Price of Anarchy (PoA) is lower and upper bounded by 2 and $O(n^{\frac{1}{\lfloor\log_3 R\rfloor+1}})$ for $R \geq 3$, while for the interesting case R=2, we are able to prove that the PoA is $\Omega(\sqrt{n})$ and $O(\sqrt{n \log n})$. For the uniform SumBD we obtain similar (asymptotically) results, and moreover we show that the PoA becomes constant as soon as the bound on the average distance is $n^{\omega(\frac{1}{\sqrt{\log n}})}$.

Connected through hyperedge HE-1 (induced by source paper "on the price of anarchy for high price links"):
  with members:
    - "on the constant price of anarchy conjecture"
    - "on the tree conjecture for the network creation game"
    - "network creation games structure vs anarchy"
    - "a bounded budget network creation game"
    - "network formation games with heterogeneous players and the internet structure"
    - "tree nash equilibria in the network creation game"

Connected through hyperedge HE-2 (induced by source paper "on the constant price of anarchy conjecture"):
  with members:
    - "network creation games structure vs anarchy"
    - "network formation games with heterogeneous players and the internet structure"
    - "tree nash equilibria in the network creation game"

Connected through hyperedge HE-3 (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-4 (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"
    - "greedy selfish network creation"

Connected through hyperedge HE-5 (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"
    - "greedy selfish network creation"
    - "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-6 (induced by source paper "efficient best response computation for strategic network formation under attack"):
  with members:
    - "strategic network formation with attack and immunization"
    - "a bounded budget network creation game"
    - "network creation games think global act local"
    - "formation games of reliable networks"
    - "the price of anarchy in bilateral network formation in an adversary model"
    - "the price of anarchy for network formation in an adversary model"

Connected through hyperedge HE-7 (induced by source paper "stars and celebrities a network creation game"):
  with members:
    - "network creation games think global act local"
    - "the max distance network creation game on general host graphs"
    - "on the structure of equilibria in basic network formation"
    - "diffusion in social networks with competing products"
    - "the price of anarchy in cooperative network creation games"

Connected through hyperedge HE-8 (induced by source paper "a bounded budget network creation game"):
  with members:
    - "on dynamics in selfish network creation"
    - "bounded budget connection bbc games or how to make friends and influence people on a budget"

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)