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: "establishing a minimum generic skill set for risk management teaching in a spreadsheet training course"
  Abstract: Past research shows that spreadsheet models are prone to such a high frequency of errors and data security implications that the risk management of spreadsheet development and spreadsheet use is of great importance to both industry and academia. The underlying rationale for this paper is that spreadsheet training courses should specifically address risk management in the development process both from a generic and a domain-specific viewpoint. This research specifically focuses on one of these namely those generic issues of risk management that should be present in a training course that attempts to meet good-practice within industry. A pilot questionnaire was constructed showing a possible minimum set of risk management issues and sent to academics and industry practitioners for feedback. The findings from this pilot survey will be used to refine the questionnaire for sending to a larger body of possible respondents. It is expected these findings will form the basis of a risk management teaching approach to be trialled in a number of selected ongoing spreadsheet training courses.

Connected through hyperedge HE-1 (induced by source paper "establishing and measuring standard spreadsheet practices for end users"):
  with members:
    - "spreadsheet errors what we know what we think we can do"
    - "stop that subversive spreadsheet"
    - "the importance and criticality of spreadsheets in the city of london"
    - "recommended practices for spreadsheet testing"

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)