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: "a meta evaluation of scientific research proposals different ways of comparing rejected to awarded applications"
  Abstract: Combining different data sets with information on grant and fellowship applications submitted to two renowned funding agencies, we are able to compare their funding decisions (award and rejection) with scientometric performance indicators across two fields of science (life sciences and social sciences). The data sets involve 671 applications in social sciences and 668 applications in life sciences. In both fields, awarded applicants perform on average better than all rejected applicants. If only the most preeminent rejected applicants are considered in both fields, they score better than the awardees on citation impact. With regard to productivity we find differences between the fields: While the awardees in life sciences outperform on average the most preeminent rejected applicants, the situation is reversed in social sciences.

Connected through hyperedge HE-1 (induced by source paper "professional and citizen bibliometrics complementarities and ambivalences in the development and use of indicators"):
  with members:
    - "a farewell to the mncs and like size independent indicators"
    - "a review of the literature on citation impact indicators"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "how to evaluate individual researchers working in the natural and life sciences meaningfully a proposal of methods based on percentiles of citations"
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"

Connected through hyperedge HE-2 (induced by source paper "theoretical and technological building blocks for an innovation accelerator"):
  with members:
    - "how to create an innovation accelerator"
    - "collective dynamics of social annotation"

Connected through hyperedge HE-3 (induced by source paper "an evaluation of impacts in nanoscience nanotechnology steps towards standards for citation analysis"):
  with members:
    - "alternatives to the journal impact factor i3 and the top 10 or top 25 of the most highly cited papers"
    - "how can journal impact factors be normalized across fields of science an assessment in terms of percentile ranks and fractional counts"
    - "percentile ranks and the integrated impact indicator i3"
    - "fractional counting of citations in research evaluation a cross and interdisciplinary assessment of the tsinghua university in beijing"
    - "interactive overlays a new method for generating global journal maps from web of science data"
    - "which cities produce excellent papers worldwide more than can be expected a new mapping approach using google maps based on statistical significance testing"
    - "the structure of the arts humanities citation index a mapping on the basis of aggregated citations among 1 157 journals"
    - "how journal rankings can suppress interdisciplinary research a comparison between innovation studies and business management"

Connected through hyperedge HE-4 (induced by source paper "normalizing the measurement of citation performance principles for comparing sets of documents"):
  with members:
    - "simple arithmetic versus intuitive understanding the case of the impact factor"
    - "towards a new crown indicator some theoretical considerations"
    - "normalization at the field level fractional counting of citations"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"
    - "how fractional counting affects the impact factor normalization in terms of differences in citation potentials among fields of science"
    - "remaining problems with the new crown indicator mncs of the cwts"
    - "rivals for the crown reply to opthof and leydesdorff"
    - "towards a new crown indicator an empirical analysis"

Connected through hyperedge HE-5 (induced by source paper "integrated impact indicators i3 compared with impact factors ifs an alternative research design with policy implications"):
  with members:
    - "simple arithmetic versus intuitive understanding the case of the impact factor"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"
    - "remaining problems with the new crown indicator mncs of the cwts"
    - "rivals for the crown reply to opthof and leydesdorff"

Connected through hyperedge HE-6 (induced by source paper "citation analysis cannot legitimate the strategic selection of excellence"):
  with members:
    - "towards a new crown indicator some theoretical considerations"
    - "normalization at the field level fractional counting of citations"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"
    - "remaining problems with the new crown indicator mncs of the cwts"

Connected through hyperedge HE-7 (induced by source paper "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"):
  with members:
    - "classification and powerlaws the logarithmic transformation"

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.CY(Computers and Society)