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: "design of multi path data routing algorithm based on network reliability"
  Abstract: Data routing through an interconnected network is important and this paper addresses the design of a multi-path data routing algorithm based on network reliability. Generally, multiple routes for a given source-terminal pair exist in a data network and the best possible route based on network metrics like hop-count, delay, traffic, queue, etc. is selected by a routing algorithm. Since network reliability incorporates all these metrics, the routing decision based on reliability seems to be the best possible option and a distributed routing algorithm based on the source-terminal (s-t) path reliability has been proposed in this work. Each node in the proposed routing generates an adjacency matrix of a network graph by periodically exchanging connection information with the adjacent nodes and selects multiple routes based on reliability of the paths. We propose an implementation of a two-path routing algorithm that instead of one includes two next-hop nodes in each node's routing table. An example is given for further illustration of the proposed algorithm.

Connected through hyperedge HE-1 (induced by source paper "on resilient control of dynamical flow networks"):
  with members:
    - "separability of lyapunov functions for contractive monotone systems"
    - "mixed monotonicity of partial first in first out traffic flow models"
    - "robust network routing under cascading failures"
    - "a compartmental model for traffic networks and its dynamical behavior"

Connected through hyperedge HE-2 (induced by source paper "robust network routing under cascading failures"):
  with members:
    - "power grid vulnerability to geographically correlated failures analysis and control implications"

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)