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: "does an awareness of differing types of spreadsheet errors aid end users in identifying spreadsheets errors"
  Abstract: The research presented in this paper establishes a valid, and simplified, revision of previous spreadsheet error classifications. This investigation is concerned with the results of a web survey and two web-based gender and domain-knowledge free spreadsheet error identification exercises. The participants of the survey and exercises were a test group of professionals (all of whom regularly use spreadsheets) and a control group of students from the University of Greenwich (UK). The findings show that over 85% of users are also the spreadsheet’s developer, supporting the revised spreadsheet error classification. The findings also show that spreadsheet error identification ability is directly affected both by spreadsheet experience and by error -type awareness. In particular, that spreadsheet error-type awareness significantly improves the user’s ability to identify, the more surreptitious , qualitative error.

Connected through hyperedge HE-1 (induced by source paper "comprehensive review for common types of errors using spreadsheets"):
  with members:
    - "classification of spreadsheet errors"

Connected through hyperedge HE-2 (induced by source paper "asheetoxy a taxonomy for classifying negative spreadsheet related phenomena"):
  with members:
    - "the role of spreadsheets in the allied irish bank allfirst currency trading fraud"

Connected through hyperedge HE-3 (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"
    - "an approach for the automated risk assessment of structural differences between spreadsheets diffxl"
    - "spreadsheets and the financial collapse"
    - "controlling end user computing applications a case study"
    - "automating spreadsheet discovery risk assessment"

Connected through hyperedge HE-4 (induced by source paper "effect of range naming conventions on reliability and development time for simple spreadsheet formulas"):
  with members:
    - "an exploratory analysis of the impact of named ranges on the debugging performance of novice users"
    - "the lookup technique to replace nested if formulas in spreadsheet programming"
    - "reducing overconfidence in spreadsheet development"
    - "spreadsheet end user behaviour analysis"
    - "the importance and criticality of spreadsheets in the city of london"

Connected through hyperedge HE-5 (induced by source paper "in search of a taxonomy for classifying qualitative spreadsheet errors"):
  with members:
    - "new guidelines for spreadsheets"
    - "classification of spreadsheet errors"

Connected through hyperedge HE-6 (induced by source paper "teaching spreadsheets curriculum design principles"):
  with members:
    - "from error detection to behaviour observation first results from screen capture analysis"
    - "an exploratory analysis of the impact of named ranges on the debugging performance of novice users"
    - "milestones for teaching the spreadsheet program"
    - "new guidelines for spreadsheets"

Connected through hyperedge HE-7 (induced by source paper "why task based training is superior to traditional training methods"):
  with members:
    - "the importance and criticality of spreadsheets in the city of london"

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)