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: "providing traceability for neuroimaging analyses"
  Abstract: Introduction#R##N#With the increasingly digital nature of biomedical data and as the complexity of analyses in medical research increases, the need for accurate information capture, traceability and accessibility has become crucial to medical researchers in the pursuance of their research goals. Grid- or Cloud-based technologies, often based on so-called Service Oriented Architectures (SOA), are increasingly being seen as viable solutions for managing distributed data and algorithms in the bio-medical domain. For neuroscientific analyses, especially those centred on complex image analysis, traceability of processes and datasets is essential but up to now this has not been captured in a manner that facilitates collaborative study.  #R##N#Purpose and Method#R##N#Few examples exist, of deployed medical systems based on Grids that provide the traceability of research data needed to facilitate complex analyses and none have been evaluated in practice. Over the past decade, we have been working with mammographers, paediatricians and neuroscientists in three generations of projects to provide the data management and provenance services now required for 21st century medical research. This paper outlines the finding of a requirements study and a resulting system architecture for the production of services to support neuroscientific studies of biomarkers for Alzheimer’s Disease.#R##N#Results#R##N#The paper proposes a software infrastructure and services that provide the foundation for such support. It introduces the use of the CRISTAL software to provide provenance management as one of a number of services delivered on a SOA, deployed to manage neuroimaging projects that have been studying biomarkers for Alzheimer’s disease. #R##N#Conclusions#R##N#In the neuGRID and N4U projects a Provenance Service has been delivered that captures and reconstructs the workflow information needed to facilitate researchers in conducting neuroimaging analyses. The software enables neuroscientists to track the evolution of workflows and datasets. It also tracks the outcomes of various analyses and provides provenance traceability throughout the lifecycle of their studies. As the Provenance Service has been designed to be generic it can be applied across the medical domain as a reusable tool for supporting medical researchers thus providing communities of researchers for the first time with the necessary tools to conduct widely distributed collaborative programmes of medical analysis.

Connected through hyperedge HE-1 (induced by source paper "data provenance tracking as the basis for a biomedical virtual research environment"):
  with members:
    - "development of a large scale neuroimages and clinical variables data atlas in the neugrid4you n4u project"
    - "designing traceability into big data systems"

Connected through hyperedge HE-2 (induced by source paper "analysis traceability and provenance for hep"):
  with members:
    - "development of a large scale neuroimages and clinical variables data atlas in the neugrid4you n4u project"
    - "traceability and provenance in big data medical systems"
    - "cristal ise provenance applied in industry"
    - "a tutorial on principal component analysis"
    - "cristal a practical study in designing systems to cope with change"

Connected through hyperedge HE-3 (induced by source paper "traceability and provenance in big data medical systems"):
  with members:
    - "cristal a practical study in designing systems to cope with change"
    - "an integrated e science analysis base for computation neuroscience experiments and analysis"
    - "experiences of engineering grid based medical software"

Connected through hyperedge HE-4 (induced by source paper "facilitating evolution during design and implementation"):
  with members:
    - "cristal ise provenance applied in industry"
    - "cristal a practical study in designing systems to cope with change"
    - "pattern reification as the basis for description driven systems"

Connected through hyperedge HE-5 (induced by source paper "development of a large scale neuroimages and clinical variables data atlas in the neugrid4you n4u project"):
  with members:
    - "an integrated e science analysis base for computation neuroscience experiments and analysis"

Connected through hyperedge HE-6 (induced by source paper "designing traceability into big data systems"):
  with members:
    - "cristal ise provenance applied in industry"

Connected through hyperedge HE-7 (induced by source paper "designing reusable systems that can handle change description driven systems revisiting object oriented principles"):
  with members:
    - "cristal a practical study in designing systems to cope with change"
    - "pattern reification as the basis for description driven systems"

Connected through hyperedge HE-8 (induced by source paper "towards provenance and traceability in cristal for hep"):
  with members:
    - "cristal a practical study in designing systems to cope with change"
    - "an integrated e science analysis base for computation neuroscience experiments and analysis"

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)