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: "comparing bibliometric statistics obtained from the web of science and scopus"
  Abstract: For more than 40 years, the Institute for Scientific Information (ISI, now part of Thomson Reuters) produced the only available bibliographic databases from which bibliometricians could compile large-scale bibliometric indicators. ISI's citation indexes, now regrouped under the Web of Science (WoS), were the major sources of bibliometric data until 2004, when Scopus was launched by the publisher Reed Elsevier. For those who perform bibliometric analyses and comparisons of countries or institutions, the existence of these two major databases raises the important question of the comparability and stability of statistics obtained from different data sources. This paper uses macro-level bibliometric indicators to compare results obtained from the WoS and Scopus. It shows that the correlations between the measures obtained with both databases for the number of papers and the number of citations received by countries, as well as for their ranks, are extremely high (R2 > .99). There is also a very high correlation when countries' papers are broken down by field. The paper thus provides evidence that indicators of scientific production and citations at the country level are stable and largely independent of the database.

Connected through hyperedge HE-1 (induced by source paper "readership data and research impact"):
  with members:
    - "microsoft academic a multidisciplinary comparison of citation counts with scopus and mendeley for 29 journals"
    - "do researchgate scores create ghost academic reputations"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "on full text download and citation distributions in scientific scholarly journals"
    - "do mendeley readership counts help to filter highly cited wos publications better than average citation impact of journals jcs"
    - "national research impact indicators from mendeley readers"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "citations in software engineering paper related journal related and author related factors"):
  with members:
    - "finding trends in software research"
    - "predicting the long term citation impact of recent publications"
    - "measuring contextual citation impact of scientific journals"

Connected through hyperedge HE-3 (induced by source paper "hunting for supernovae articles in the universe of scientometrics"):
  with members:
    - "google scholar web of science and scopus a systematic comparison of citations in 252 subject categories"
    - "a new methodology for comparing google scholar and scopus"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"

Connected through hyperedge HE-4 (induced by source paper "dimensions a competitor to scopus and the web of science"):
  with members:
    - "microsoft academic automatic document searches accuracy for journal articles and suitability for citation analysis"
    - "can we use google scholar to identify highly cited documents"
    - "citation analysis with microsoft academic"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "more precise methods for national research citation impact comparisons"
    - "a review of the literature on citation impact indicators"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"

Connected through hyperedge HE-5 (induced by source paper "are the discretised lognormal and hooked power law distributions plausible for citation data"):
  with members:
    - "publication boost in web of science journals and its effect on citation distributions"
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "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"
    - "universality of citation distributions revisited"
    - "towards a new crown indicator some theoretical considerations"

Connected through hyperedge HE-6 (induced by source paper "a review of the literature on citation impact indicators"):
  with members:
    - "a sensitivity analysis of researchers productivity rankings to the time of citation observation"
    - "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"
    - "measuring academic influence not all citations are equal"
    - "a review of theory and practice in scientometrics"
    - "comprehensive indicator comparisons intelligible to non experts the case of two snip versions"
    - "methods for estimating the size of google scholar"
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"

Connected through hyperedge HE-7 (induced by source paper "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"):
  with members:
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "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"
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"
    - "a new methodology for constructing a publication level classification system of science"

Connected through hyperedge HE-8 (induced by source paper "a multivariate stochastic model to assess research performance"):
  with members:
    - "how do you define and measure research productivity"
    - "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 size effects in higher education research productivity"
    - "revisiting the scaling of citations for research assessment"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"

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.IR(Information Retrieval)