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 price of anarchy in bilateral network formation in an adversary model"
  Abstract: We study network formation with the bilateral link formation rule (Jackson and Wolinsky 1996) with $n$ players and link cost $\alpha>0$. After the network is built, an adversary randomly destroys one link according to a certain probability distribution. Cost for player $v$ incorporates the expected number of players to which $v$ will become disconnected. This model was previously studied for unilateral link formation (K. 2011). #R##N#We prove existence of pairwise Nash equilibria under moderate assumptions on the adversary and $n\geq 9$. As the main result, we prove bounds on the price of anarchy for two special adversaries: one destroys a link chosen uniformly at random, while the other destroys a link that causes a maximum number of player pairs to be separated. We prove bounds tight up to constants, namely $O(1)$ for one adversary (if $\alpha>1/2$), and $\Theta(n)$ for the other (if $\alpha>2$ considered constant and $n \geq 9$). The latter is the worst that can happen for any adversary in this model (if $\alpha=\Omega(1)$).

Connected through hyperedge HE-1 (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"
    - "on dynamics in selfish network creation"
    - "the price of anarchy for network formation in an adversary model"
    - "greedy selfish network creation"
    - "bounded distance network creation games"

Connected through hyperedge HE-2 (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 for network formation in an adversary model"
    - "bounded distance network creation games"

Connected through hyperedge HE-3 (induced by source paper "swap equilibria under link and vertex destruction"):
  with members:
    - "strategic network formation with attack and immunization"
    - "formation games of reliable networks"
    - "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)