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: "strategy synthesis in adversarial patrolling games"
  Abstract: Patrolling is one of the central problems in operational security. Formally, a patrolling problem is specified by a set $U$ of nodes (admissible defender's positions), a set $T \subseteq U$ of vulnerable targets, an admissible defender's moves over $U$, and a function which to every target assigns the time needed to complete an intrusion at it. The goal is to design an optimal strategy for a defender who is moving from node to node and aims at detecting possible intrusions at the targets. The goal of the attacker is to maximize the probability of a successful attack. We assume that the attacker is adversarial, i.e., he knows the strategy of the defender and can observe her moves. #R##N#We prove that the defender has an optimal strategy for every patrolling problem. Further, we show that for every $\varepsilon$ > 0, there exists a finite-memory $\varepsilon$-optimal strategy for the defender constructible in exponential time, and we observe that such a strategy cannot be computed in polynomial time unless P=NP. #R##N#Then we focus ourselves to unrestricted defender's moves. Here, a patrolling problem is fully determined by its signature, the number of targets of each attack length. We bound the maximal probability of successfully defended attacks. Then, we introduce a decomposition method which allows to split a given patrolling problem $G$ into smaller subproblems and construct a defender's strategy for $G$ by "composing" the strategies constructed for these subproblems. #R##N#Finally, for patrolling problems with $T = U$ and a well-formed signature, we give an exact classification of all sufficiently connected environments where the defender can achieve the same value as in the fully connected uniform environment. This result is useful for designing "good" environments where the defender can act optimally.

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)