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: "strategic network formation with attack and immunization"
  Abstract: Strategic network formation arises where agents receive benefit from connections to other agents, but also incur costs for forming links. We consider a new network formation game that incorporates an adversarial attack, as well as immunization against attack. An agent's benefit is the expected size of her connected component post-attack, and agents may also choose to immunize themselves from attack at some additional cost. Our framework is a stylized model of settings where reachability rather than centrality is the primary concern and vertices vulnerable to attacks may reduce risk via costly measures. #R##N#In the reachability benefit model without attack or immunization, the set of equilibria is the empty graph and any tree. The introduction of attack and immunization changes the game dramatically; new equilibrium topologies emerge, some more sparse and some more dense than trees. We show that, under a mild assumption on the adversary, every equilibrium network with $n$ agents contains at most $2n-4$ edges for $n\geq 4$. So despite permitting topologies denser than trees, the amount of overbuilding is limited. We also show that attack and immunization don't significantly erode social welfare: every non-trivial equilibrium with respect to several adversaries has welfare at least as that of any equilibrium in the attack-free model. #R##N#We complement our theory with simulations demonstrating fast convergence of a new bounded rationality dynamic which generalizes linkstable best response but is considerably more powerful in our game. The simulations further elucidate the wide variety of asymmetric equilibria and demonstrate topological consequences of the dynamics e.g. heavy-tailed degree distributions. Finally, we report on a behavioral experiment on our game with over 100 participants, where despite the complexity of the game, the resulting network was surprisingly close to equilibrium.

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"
    - "network creation games think global act local"
    - "quality of service in network creation games"

Connected through hyperedge HE-2 (induced by source paper "network formation under random attack and probabilistic spread"):
  with members:
    - "swap equilibria under link and vertex destruction"
    - "the price of anarchy for network formation in an adversary model"

Connected through hyperedge HE-3 (induced by source paper "individual security and network design with malicious nodes"):
  with members:
    - "a secure approach for caching contents in wireless ad hoc networks"
    - "multidefender security games"
    - "interdependent defense games modeling interdependent security under deliberate attacks"
    - "a local mean field analysis of security investments in networks"

Connected through hyperedge HE-4 (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"
    - "a bounded budget network creation game"
    - "network creation games think global act local"

Connected through hyperedge HE-5 (induced by source paper "on selfish creation of robust networks"):
  with members:
    - "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"
    - "bounded distance network creation games"

Connected through hyperedge HE-6 (induced by source paper "efficient best response computation for strategic network formation under attack"):
  with members:
    - "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"
    - "bounded distance network creation games"

Connected through hyperedge HE-7 (induced by source paper "swap equilibria under link and vertex destruction"):
  with members:
    - "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-8 (induced by source paper "stochastic epidemic networks with strategic link formation"):
  with members:
    - "dynamic conjectures in random access networks using bio inspired learning"

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)