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: "on node and route choice models for high dimensional road networks"
  Abstract: This paper discusses first order node models for macroscopic multi-commodity traffic simulation. There are two parts: (1) input-output flow computation based on input demand, input link priorities, split ratios that define how incoming flow is distributed between output links, and output supply; and (2) a traffic assignment algorithm for the case when split ratios are not known a priori or are only partially known. #R##N#Input link priorities define how output supply is distributed between incoming flows. We deal with arbitrary input link priorities. Also, in this node model we specifically address the issue of the First-In-First-Out (FIFO) rule: in the case of one of the output links being overly congested the FIFO rule may be too restrictive, blocking the flow to other outputs and causing unreasonable spillback. We relax the FIFO rule through a parametrization that describes how output links influence each other and allows tuning the model to anything between full FIFO and no FIFO. #R##N#In the existing research the prevailing approach to local traffic assignment is to use a mode choice (logit or probit) model. In this paper we discuss the shortcomings of the logit model and introduce a nonparametric route choice algorithm that produces split ratios based only on link demands and supplies. #R##N#All methods in this paper are presented for multi-commodity traffic flows.

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.SY(Systems and Control)