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: "geometric journal impact factors correcting for individual highly cited articles"
  Abstract: Journal impact factors (JIFs) are widely used and promoted but have important limitations. In particular, JIFs can be unduly influenced by individual highly cited articles and hence are inherently unstable. A logical way to reduce the impact of individual high citation counts is to use the geometric mean rather than the standard mean in JIF calculations. Based upon journal rankings 2004–2014 in 50 sub-categories within 5 broad categories, this study shows that journal rankings based on JIF variants tend to be more stable over time if the geometric mean is used rather than the standard mean. The same is true for JIF variants using Mendeley reader counts instead of citation counts. Thus, although the difference is not large, the geometric mean is recommended instead of the arithmetic mean for future JIF calculations. In addition, Mendeley readership-based JIF variants are as stable as those using Scopus citations, confirming the value of Mendeley readership as an academic impact indicator.

Connected through hyperedge HE-1 (induced by source paper "should citations be counted separately from each originating section"):
  with members:
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "characterizing in text citations in scientific articles a large scale analysis"
    - "measuring academic influence not all citations are equal"

Connected through hyperedge HE-2 (induced by source paper "do females create higher impact research scopus citations and mendeley readers for articles from five countries"):
  with members:
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "should the research performance of scientists be distinguished by gender"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"
    - "assessing the varying level of impact measurement accuracy as a function of the citation window length"
    - "towards a new crown indicator some theoretical considerations"
    - "towards a new crown indicator an empirical analysis"

Connected through hyperedge HE-3 (induced by source paper "microsoft academic automatic document searches accuracy for journal articles and suitability for citation analysis"):
  with members:
    - "the number of linked references of publications in microsoft academic in comparison with the web of science"
    - "microsoft academic a multidisciplinary comparison of citation counts with scopus and mendeley for 29 journals"
    - "citation analysis with microsoft academic"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "the coverage of microsoft academic analyzing the publication output of a university"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "towards a new crown indicator some theoretical considerations"

Connected through hyperedge HE-4 (induced by source paper "mendeley readership as a filtering tool to identify highly cited publications"):
  with members:
    - "do mendeley readership counts help to filter highly cited wos publications better than average citation impact of journals jcs"
    - "ranking research institutions by the number of highly cited articles per scientist"
    - "networks of reader and country status an analysis of mendeley reader statistics"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "how are excellent highly cited papers defined in bibliometrics a quantitative analysis of the literature"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "tweeting biomedicine an analysis of tweets and citations in the biomedical literature"

Connected through hyperedge HE-5 (induced by source paper "microsoft academic a multidisciplinary comparison of citation counts with scopus and mendeley for 29 journals"):
  with members:
    - "citation analysis with microsoft academic"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "the coverage of microsoft academic analyzing the publication output of a university"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "towards a new crown indicator an empirical analysis"

Connected through hyperedge HE-6 (induced by source paper "are there too many uncited articles zero inflated variants of the discretised lognormal and hooked power law distributions"):
  with members:
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "are the discretised lognormal and hooked power law distributions plausible for citation data"
    - "the discretised lognormal and hooked power law distributions for complete citation data best options for modelling and regression"
    - "more precise methods for national research citation impact comparisons"
    - "distributions for cited articles from individual subjects and years"
    - "power laws in citation distributions evidence from scopus"
    - "on the calculation of percentile based bibliometric indicators"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"

Connected through hyperedge HE-7 (induced by source paper "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"):
  with members:
    - "more precise methods for national research citation impact comparisons"
    - "aggregated journal journal citation relations in scopus and web of science matched and compared in terms of networks maps and interactive overlays"
    - "regression for citation data an evaluation of different methods"
    - "distributions for cited articles from individual subjects and years"
    - "towards a new crown indicator some theoretical considerations"
    - "remaining problems with the new crown indicator mncs of the cwts"
    - "towards a new crown indicator an empirical analysis"

Connected through hyperedge HE-8 (induced by source paper "citation count distributions for large monodisciplinary journals"):
  with members:
    - "are the discretised lognormal and hooked power law distributions plausible for citation data"
    - "the discretised lognormal and hooked power law distributions for complete citation data best options for modelling and regression"
    - "regression for citation data an evaluation of different methods"
    - "distributions for cited articles from individual subjects and years"
    - "power laws in citation distributions evidence from scopus"
    - "quantifying long term scientific impact"
    - "towards a new crown indicator some theoretical considerations"

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)