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: "sampling based decentralized monitoring for networked embedded systems"
  Abstract: Decentralized monitoring (DM) refers to a monitoring technique, where each component must infer,based on a set of partial observations if the global property is satisﬁed. Our work is inspired by thetheoretical results presented by Baurer and Falcone at FM 2012 [7], where the authors introducedan algorithm for distributing and monitoring LTL formulae, such that satisfaction or violation ofspeciﬁcations can be detected by local monitors alone. However, their work is based on the mainassumption that neither the computation nor communication take time, hence it does not take intoaccount how to set a sampling time among the components such that their local traces are consistent.In this work we provide a timed model in UPPAAL and we show a case study on a networkedembedded systems board.

Connected through hyperedge HE-1 (induced by source paper "on the monitoring of decentralized specifications semantics properties analysis and simulation"):
  with members:
    - "event stream processing with multiple threads"
    - "on distributed monitoring of asynchronous systems"
    - "decentralised ltl monitoring"

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.SE(Software Engineering)