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: "national peer review research assessment exercises for the hard sciences can be a complete waste of money the italian case"
  Abstract: There has been ample demonstration that bibliometrics is superior to peer-review for national research assessment exercises in the hard sciences. In this paper we examine the Italian case, taking the 2001---2003 university performance rankings list based on bibliometrics as benchmark. We compare the accuracy of the first national evaluation exercise, conducted entirely by peer-review, to other rankings lists prepared at zero cost, based on indicators indirectly linked to performance or available on the Internet. The results show that, for the hard sciences, the costs of conducting the Italian evaluation of research institutions could have been completely avoided.

Connected through hyperedge HE-1 (induced by source paper "peer review versus bibliometrics which method better predicts the scholarly impact of publications"):
  with members:
    - "systematic analysis of agreement between metrics and peer review in the uk ref"
    - "predicting publication long term impact through a combination of early citations and journal impact factor"
    - "peer review and citation data in predicting university rankings a large scale analysis"
    - "do citations and readership identify seminal publications"
    - "revisiting the scientometric conceptualization of impact and its measurement"
    - "selecting competent referees to assess research projects proposals a study of referees registers"
    - "do they agree bibliometric evaluation versus informed peer review in the italian research assessment exercise"
    - "refrain from adopting the combination of citation and journal metrics to grade publications as used in the italian national research assessment exercise vqr 2011 2014"

Connected through hyperedge HE-2 (induced by source paper "qualitative judgement of research impact domain taxonomy as a fundamental framework for judgement of the quality of research"):
  with members:
    - "identification of influential scientists vs mass producers by the perfectionism index"
    - "a measure for the impact of research"
    - "the correspondence analysis platform for uncovering deep structure in data and information"

Connected through hyperedge HE-3 (induced by source paper "on tit for tat franceschini and maisano versus anvur regarding the italian research assessment exercise vqr 2011 2014"):
  with members:
    - "do they agree bibliometric evaluation versus informed peer review in the italian research assessment exercise"
    - "refrain from adopting the combination of citation and journal metrics to grade publications as used in the italian national research assessment exercise vqr 2011 2014"
    - "the vqr italy s second national research assessment methodological failures and ranking distortions"
    - "inefficiency in selecting products for submission to national research assessment exercises"
    - "measuring institutional research productivity for the life sciences the importance of accounting for the order of authors in the byline"
    - "the importance of accounting for the number of co authors and their order when assessing research performance at the individual level in the life sciences"
    - "research productivity are higher academic ranks more productive than lower ones"
    - "national research assessment exercises a comparison of peer review and bibliometrics rankings"

Connected through hyperedge HE-4 (induced by source paper "errors and secret data in the italian research assessment exercise a comment to a reply"):
  with members:
    - "on tit for tat franceschini and maisano versus anvur regarding the italian research assessment exercise vqr 2011 2014"
    - "do they agree bibliometric evaluation versus informed peer review in the italian research assessment exercise"
    - "the vqr italy s second national research assessment methodological failures and ranking distortions"

Connected through hyperedge HE-5 (induced by source paper "refrain from adopting the combination of citation and journal metrics to grade publications as used in the italian national research assessment exercise vqr 2011 2014"):
  with members:
    - "do they agree bibliometric evaluation versus informed peer review in the italian research assessment exercise"
    - "the vqr italy s second national research assessment methodological failures and ranking distortions"
    - "inefficiency in selecting products for submission to national research assessment exercises"
    - "the dangers of performance based research funding in non competitive higher education systems"
    - "national research assessment exercises the effects of changing the rules of the game during the game"
    - "citations versus journal impact factor as proxy of quality could the latter ever be preferable"
    - "allocative efficiency in public research funding can bibliometrics help"

Connected through hyperedge HE-6 (induced by source paper "the vqr italy s second national research assessment methodological failures and ranking distortions"):
  with members:
    - "how do you define and measure research productivity"
    - "inefficiency in selecting products for submission to national research assessment exercises"
    - "the importance of accounting for the number of co authors and their order when assessing research performance at the individual level in the life sciences"
    - "revisiting the scaling of citations for research assessment"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"
    - "the role of information asymmetry in the market for university industry research collaboration"
    - "national research assessment exercises a comparison of peer review and bibliometrics rankings"
    - "evaluating research from informed peer review to bibliometrics"

Connected through hyperedge HE-7 (induced by source paper "the influence of time and discipline on the magnitude of correlations between citation counts and quality scores"):
  with members:
    - "distributions for cited articles from individual subjects and years"
    - "on the causes of subject specific citation rates in web of science"
    - "the validation of advanced bibliometric indicators through peer assessments a comparative study using data from incites and f1000"
    - "the first italian research assessment exercise a bibliometric perspective"

Connected through hyperedge HE-8 (induced by source paper "regression for citation data an evaluation of different methods"):
  with members:
    - "distributions for cited articles from individual subjects and years"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "how to calculate the practical significance of citation impact differences an empirical example from evaluative institutional bibliometrics using adjusted predictions and marginal effects"
    - "comparison of a citation based indicator and peer review for absolute and specific measures of research group excellence"
    - "national research assessment exercises a comparison of peer review and bibliometrics rankings"
    - "towards a new crown indicator some theoretical considerations"
    - "classification and powerlaws the logarithmic transformation"
    - "the first italian research assessment exercise a bibliometric perspective"

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)