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: "how do you define and measure research productivity"
  Abstract: Productivity is the quintessential indicator of efficiency in any production system. It seems it has become a norm in bibliometrics to define research productivity as the number of publications per researcher, distinguishing it from impact. In this work we operationalize the economic concept of productivity for the specific context of research activity and show the limits of the commonly accepted definition. We propose then a measurable form of research productivity through the indicator "Fractional Scientific Strength (FSS)", in keeping with the microeconomic theory of production. We present the methodology for measure of FSS at various levels of analysis: individual, field, discipline, department, institution, region and nation. Finally, we compare the ranking lists of Italian universities by the two definitions of research productivity.

Connected through hyperedge HE-1 (induced by source paper "the h index for research assessment simple and popular but shown by mathematical analysis to be inconsistent and misleading"):
  with members:
    - "like for like bibliometric substitutes for peer review advantages and limits of indicators calculated from the ep index"
    - "research assessment by percentile based double rank analysis"
    - "not dead just resting the practical value of per publication citation indicators"
    - "the inconsistency of the h index"

Connected through hyperedge HE-2 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities"):
  with members:
    - "predicting publication long term impact through a combination of early citations and journal impact factor"
    - "the impact of unproductive and top researchers on overall university research performance"
    - "the elephant in the room the problem of quantifying productivity in evaluative scientometrics"
    - "the ratio of top scientists to the academic staff as an indicator of the competitive strength of universities"
    - "not dead just resting the practical value of per publication citation indicators"
    - "efficiency of research performance and the glass researcher"
    - "ranking research institutions by the number of highly cited articles per scientist"
    - "predicting the long term citation impact of recent publications"

Connected through hyperedge HE-3 (induced by source paper "a nation s foreign and domestic professors which have better research performance the italian case"):
  with members:
    - "the impact of unproductive and top researchers on overall university research performance"
    - "revisiting the scientometric conceptualization of impact and its measurement"
    - "gender bias in academic recruitment"
    - "the determinants of academic career advancement evidence from italy"
    - "the spin off of elite universities in non competitive undifferentiated higher education systems an empirical simulation in italy"
    - "assessing national strengths and weaknesses in research fields"
    - "career advancement and scientific performance in universities"
    - "individual research performance a proposal for comparing apples to oranges"

Connected through hyperedge HE-4 (induced by source paper "authorship analysis of specialized vs diversified research output"):
  with members:
    - "diversification versus specialization in scientific research which strategy pays off"
    - "the effects of gender age and academic rank on research diversification"
    - "the effect of multidisciplinary collaborations on research diversification"
    - "do interdisciplinary research teams deliver higher gains to science"
    - "specialization versus diversification in research activities the extent intensity and relatedness of field diversification by individual scientists"
    - "the relationship among research productivity research collaboration and their determinants"
    - "does your surname affect the citability of your publications"
    - "variation in research collaboration patterns across academic ranks"

Connected through hyperedge HE-5 (induced by source paper "the collaboration behavior of top scientists"):
  with members:
    - "measuring science irresistible temptations easy shortcuts and dangerous consequences"
    - "revisiting the scientometric conceptualization of impact and its measurement"
    - "the relationship among research productivity research collaboration and their determinants"
    - "variation in research collaboration patterns across academic ranks"
    - "individual research performance a proposal for comparing apples to oranges"
    - "the collaboration behaviors of scientists in italy a field level analysis"
    - "gender differences in research collaboration"
    - "are researchers that collaborate more at the international level top performers an investigation on the italian university system"

Connected through hyperedge HE-6 (induced by source paper "a gender analysis of top scientists collaboration behavior evidence from italy"):
  with members:
    - "the collaboration behavior of top scientists"
    - "gender differences in scientific collaborations women are more egalitarian than men"
    - "the relationship among research productivity research collaboration and their determinants"
    - "variation in research collaboration patterns across academic ranks"
    - "the collaboration behaviors of scientists in italy a field level analysis"
    - "gender differences in research collaboration"
    - "are researchers that collaborate more at the international level top performers an investigation on the italian university system"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"

Connected through hyperedge HE-7 (induced by source paper "might europe one day again be a global scientific powerhouse analysis of erc publications suggests it will not be possible without changes in research policy"):
  with members:
    - "systematic analysis of agreement between metrics and peer review in the uk ref"
    - "like for like bibliometric substitutes for peer review advantages and limits of indicators calculated from the ep index"
    - "technological research in the eu is less efficient than the world average eu research policy risks europeans future"
    - "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations"

Connected through hyperedge HE-8 (induced by source paper "field normalization of scientometric indicators"):
  with members:
    - "relative citation ratio rcr an empirical attempt to study a new field normalized bibliometric indicator"
    - "citation analysis with microsoft academic"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "a comparison of university performance scores and ranks by mncs and fss"
    - "a farewell to the mncs and like size independent indicators"
    - "citation score normalized by cited references csncr the introduction of a new citation impact indicator"
    - "national disciplinary and temporal variations in the extent to which articles with more authors have more impact evidence from a geometric field normalised citation indicator"
    - "quality versus quantity in scientific impact"

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.DL(Digital Libraries)