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: "the measurement of italian universities research productivity by a non parametric bibliometric methodology"
  Abstract: This paper presents a methodology for measuring the technical efficiency of research activities. It is based on the application of data envelopment analysis to bibliometric data on the Italian university system. For that purpose, different input values (research personnel by level and extra funding) and output values (quantity, quality and level of contribution to actual scientific publications) are considered. Our study aims at overcoming some of the limitations connected to the methodologies that have so far been proposed in the literature, in particular by surveying the scientific production of universities by authors’ name.

Connected through hyperedge HE-1 (induced by source paper "mapping excellence in national research systems the case of italy"):
  with members:
    - "measuring science irresistible temptations easy shortcuts and dangerous consequences"
    - "research collaboration and productivity is there correlation"

Connected through hyperedge HE-2 (induced by source paper "testing the trade off between productivity and quality in research activities"):
  with members:
    - "university industry collaboration in italy a bibliometric examination"
    - "allocative efficiency in public research funding can bibliometrics help"

Connected through hyperedge HE-3 (induced by source paper "a decision support system for public research organizations participating in national research assessment exercises"):
  with members:
    - "allocative efficiency in public research funding can bibliometrics help"

Connected through hyperedge HE-4 (induced by source paper "the research production of nations and departments a statistical model for the share of publications"):
  with members:
    - "conceptual difficulties in the use of statistical inference in citation analysis"
    - "from rankings to funnel plots the question of accounting for uncertainty when assessing university research performance"
    - "a multivariate stochastic model to assess research performance"
    - "funnel plots for visualizing uncertainty in the research performance of institutions"
    - "how do you define and measure research productivity"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "research productivity are higher academic ranks more productive than lower ones"
    - "research collaboration and productivity is there correlation"

Connected through hyperedge HE-5 (induced by source paper "a comparison of university performance scores and ranks by mncs and fss"):
  with members:
    - "testing the trade off between productivity and quality in research activities"
    - "a farewell to the mncs and like size independent indicators"
    - "efficiency of research performance and the glass researcher"
    - "evaluating university research same performance indicator different rankings"
    - "does quantity make a difference the importance of publishing many papers"
    - "ranking research institutions by the number of highly cited articles per scientist"
    - "how do you define and measure research productivity"
    - "measuring institutional research productivity for the life sciences the importance of accounting for the order of authors in the byline"

Connected through hyperedge HE-6 (induced by source paper "variability of research performance across disciplines within universities in non competitive higher education systems"):
  with members:
    - "the dispersion of research performance within and between universities as a potential indicator of the competitive intensity in higher education systems"
    - "revisiting the scaling of citations for research assessment"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"
    - "research productivity are higher academic ranks more productive than lower ones"
    - "a field standardized application of dea to national scale research assessment of universities"
    - "the dangers of performance based research funding in non competitive higher education systems"
    - "comparing bibliometric statistics obtained from the web of science and scopus"

Connected through hyperedge HE-7 (induced by source paper "a field standardized application of dea to national scale research assessment of universities"):
  with members:
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"
    - "national scale research performance assessment at the individual level"
    - "evaluating research from informed peer review to bibliometrics"
    - "allocative efficiency in public research funding can bibliometrics help"
    - "the technology transfer of the italian public research system the case of the national research council of italy"

Connected through hyperedge HE-8 (induced by source paper "evaluating research from informed peer review to bibliometrics"):
  with members:
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"
    - "national scale research performance assessment at the individual level"
    - "peer review research assessment a sensitivity analysis of performance rankings to the share of research product evaluated"
    - "allocative efficiency in public research funding can bibliometrics help"

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)