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 approach for the automated risk assessment of structural differences between spreadsheets diffxl"
  Abstract: This paper outlines an approach to manage and quantify the risks associated with changes made to spreadsheets. The methodology focuses on structural differences between spreadsheets and suggests a technique by which a risk analysis can be achieved in an automated environment. The paper offers an example that demonstrates how contiguous ranges of data can be mapped into a generic list of formulae, data and metadata. The example then shows that comparison of these generic lists can establish the structural differences between spreadsheets and quantify the level of risk that each change has introduced. Lastly the benefits, drawbacks and limitations of the technique are discussed in a commercial context.

Connected through hyperedge HE-1 (induced by source paper "governance of spreadsheets through spreadsheet change reviews"):
  with members:
    - "controls over spreadsheets for financial reporting in practice"
    - "self checks in spreadsheets a survey of current practice"
    - "spreadsheet good practice is there any such thing"
    - "a practical approach to managing spreadsheet risk in a global business"
    - "spreadsheets and the financial collapse"
    - "does an awareness of differing types of spreadsheet errors aid end users in identifying spreadsheets errors"
    - "controlling end user computing applications a case study"
    - "automating spreadsheet discovery risk assessment"

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.HC(Human-Computer Interaction)