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: "classification of spreadsheet errors"
  Abstract: This paper describes a framework for a systematic classification of spreadsheet errors. This classification or taxonomy of errors is aimed at facilitating analysis and comprehension of the different types of spreadsheet errors. The taxonomy is an outcome of an investigation of the widespread problem of spreadsheet errors and an analysis of specific types of these errors. This paper contains a description of the various elements and categories of the classification and is supported by appropriate examples.

Connected through hyperedge HE-1 (induced by source paper "comprehensive review for common types of errors using spreadsheets"):
  with members:
    - "does an awareness of differing types of spreadsheet errors aid end users in identifying spreadsheets errors"

Connected through hyperedge HE-2 (induced by source paper "characterizing scalability issues in spreadsheet software using online forums"):
  with members:
    - "quantifying search bias investigating sources of bias for political searches in social media"
    - "towards a holistic integration of spreadsheets with databases a scalable storage engine for presentational data management"
    - "events and controversies influences of a shocking news event on information seeking"

Connected through hyperedge HE-3 (induced by source paper "automated refactoring of nested if formulae in spreadsheets"):
  with members:
    - "a conceptual model for measuring the complexity of spreadsheets"
    - "what we don t know about spreadsheet errors today the facts why we don t believe them and what we need to do"
    - "enron versus euses a comparison of two spreadsheet corpora"
    - "the detection of human spreadsheet errors by humans versus inspection auditing software"

Connected through hyperedge HE-4 (induced by source paper "in search of a taxonomy for classifying qualitative spreadsheet errors"):
  with members:
    - "does an awareness of differing types of spreadsheet errors aid end users in identifying spreadsheets errors"
    - "new guidelines for spreadsheets"

Connected through hyperedge HE-5 (induced by source paper "controls over spreadsheets for financial reporting in practice"):
  with members:
    - "spreadsheet risk management in organisations"
    - "spreadsheets grow up three spreadsheet engineering methodologies for large financial planning models"

Connected through hyperedge HE-6 (induced by source paper "an empirical study on end users productivity using model based spreadsheets"):
  with members:
    - "spreadsheet errors what we know what we think we can do"

Connected through hyperedge HE-7 (induced by source paper "from error detection to behaviour observation first results from screen capture analysis"):
  with members:
    - "overview and main results of the didatab project"
    - "spreadsheet end user behaviour analysis"

Connected through hyperedge HE-8 (induced by source paper "investigating the potential of test driven development for spreadsheet engineering"):
  with members:
    - "when why and how to test spreadsheets"
    - "a novel approach to formulae production and overconfidence measurement to reduce risk in spreadsheet modelling"
    - "stop that subversive spreadsheet"
    - "the importance and criticality of spreadsheets in the city of london"
    - "spreadsheet engineering a research framework"

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)