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: "spreadsheet errors what we know what we think we can do"
  Abstract: Fifteen years of research studies have concluded unanimously that spreadsheet errors are both common and non-trivial. Now w e must seek ways to reduce spreadsheet errors. Several approaches have been suggested, some of which are promising and others, while appealing because they are easy to do, are not likely to be effective. To date, only one technique, cell-by-cell code inspection, has been demonstrated to be effective. We need to conduct further r esearch to determine the degree to which other techniques can reduce spreadsheet errors.

Connected through hyperedge HE-1 (induced by source paper "a conceptual model for measuring the complexity of spreadsheets"):
  with members:
    - "development and experimentation of a software tool for identifying high risk spreadsheets for auditing"
    - "complexity metrics for spreadsheet models"

Connected through hyperedge HE-2 (induced by source paper "auditing spreadsheets with or without a tool"):
  with members:
    - "excel 2013 spreadsheet inquire"
    - "the detection of human spreadsheet errors by humans versus inspection auditing software"

Connected through hyperedge HE-3 (induced by source paper "spreadsheet probabilistic programming"):
  with members:
    - "a compilation target for probabilistic programming languages"
    - "church a language for generative models"

Connected through hyperedge HE-4 (induced by source paper "xlsearch a search engine for spreadsheets"):
  with members:
    - "a scalable module system"
    - "spreadsheet auditing software"

Connected through hyperedge HE-5 (induced by source paper "an empirical study on end users productivity using model based spreadsheets"):
  with members:
    - "classification of spreadsheet errors"

Connected through hyperedge HE-6 (induced by source paper "what we understand is what we get assessment in spreadsheets"):
  with members:
    - "documenting problem solving knowledge proposed annotation design guidelines and their application to spreadsheet tools"
    - "spreadsheet validation and analysis through content visualization"
    - "metrics based spreadsheet visualization support for focused maintenance"
    - "interpretation as a factor in understanding flawed spreadsheets"

Connected through hyperedge HE-7 (induced by source paper "establishing and measuring standard spreadsheet practices for end users"):
  with members:
    - "establishing a minimum generic skill set for risk management teaching in a spreadsheet training course"
    - "stop that subversive spreadsheet"
    - "the importance and criticality of spreadsheets in the city of london"
    - "recommended practices for spreadsheet testing"

Connected through hyperedge HE-8 (induced by source paper "in pursuit of spreadsheet excellence"):
  with members:
    - "sarbanes oxley what about all the spreadsheets"
    - "thinking is bad implications of human error research for spreadsheet research and practice"
    - "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.SE(Software Engineering)