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: "an introduction to docker for reproducible research with examples from the r environment"
  Abstract: As computational work becomes more and more integral to many aspects of scientific research, computational reproducibility has become an issue of increasing importance to computer systems researchers and domain scientists alike. Though computational reproducibility seems more straight forward than replicating physical experiments, the complex and rapidly changing nature of computer environments makes being able to reproduce and extend such work a serious challenge. In this paper, I explore common reasons that code developed for one research project cannot be successfully executed or extended by subsequent researchers. I review current approaches to these issues, including virtual machines and workflow systems, and their limitations. I then examine how the popular emerging technology Docker combines several areas from systems research - such as operating system virtualization, cross-platform portability, modular re-usable elements, versioning, and a `DevOps' philosophy, to address these challenges. I illustrate this with several examples of Docker use with a focus on the R statistical environment.

Connected through hyperedge HE-1 (induced by source paper "openedgar open source software for sec edgar analysis"):
  with members:
    - "lexnlp natural language processing and information extraction for legal and regulatory texts"
    - "predicting and understanding law making with word vectors and an ensemble model"
    - "efficient estimation of word representations in vector space"

Connected through hyperedge HE-2 (induced by source paper "mitigating docker security issues"):
  with members:
    - "analysis of docker security"

Connected through hyperedge HE-3 (induced by source paper "opening the black box of energy modelling strategies and lessons learned"):
  with members:
    - "good enough practices in scientific computing"

Connected through hyperedge HE-4 (induced by source paper "doclite a docker based lightweight cloud benchmarking tool"):
  with members:
    - "cloud services brokerage a survey and research roadmap"
    - "analysis of docker security"
    - "academic cloud computing research five pitfalls and five opportunities"
    - "cloud benchmarking for performance"
    - "parallel simulations for analysing portfolios of catastrophic event risk"
    - "on a catalogue of metrics for evaluating commercial cloud services"

Connected through hyperedge HE-5 (induced by source paper "container based cloud virtual machine benchmarking"):
  with members:
    - "analysis of docker security"
    - "optimal deployment of geographically distributed workflow engines on the cloud"
    - "cloud benchmarking for performance"
    - "location location location data intensive distributed computing in the cloud"
    - "parallel simulations for analysing portfolios of catastrophic event risk"
    - "on a catalogue of metrics for evaluating commercial cloud services"

Connected through hyperedge HE-6 (induced by source paper "a collaborative approach to computational reproducibility"):
  with members:
    - "reproducible experiments on dynamic resource allocation in cloud data centers"

Connected through hyperedge HE-7 (induced by source paper "reproducibility in research systems infrastructure culture"):
  with members:
    - "top tips to make your research irreproducible"
    - "ten simple rules for the care and feeding of scientific data"

Connected through hyperedge HE-8 (induced by source paper "reproducible and user controlled software environments in hpc with guix"):
  with members:
    - "functional package management with guix"

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)