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: "big macs and eigenfactor scores don t let correlation coefficients fool you"
  Abstract: The Eigenfactor Metrics provide an alternative way of evaluating scholarly journals based on an iterative ranking procedure analogous to Google's PageRank algorithm. These metrics have recently been adopted by Thomson-Reuters and are listed alongside the Impact Factor in the Journal Citation Reports. But do these metrics differ sufficiently so as to be a useful addition to the bibliometric toolbox? Davis (2008) has argued otherwise, based on his finding of a 0.95 correlation coefficient between Eigenfactor score and Total Citations for a sample of journals in the field of medicine. This conclusion is mistaken; here we illustrate the basic statistical fallacy to which Davis succumbed. We provide a complete analysis of the 2006 Journal Citation Reports and demonstrate that there are statistically and economically significant differences between the information provided by the Eigenfactor Metrics and that provided by Impact Factor and Total Citations.

Connected through hyperedge HE-1 (induced by source paper "systematic analysis of agreement between metrics and peer review in the uk ref"):
  with members:
    - "peer review and citation data in predicting university rankings a large scale analysis"
    - "predicting results of the research excellence framework using departmental h index"
    - "predicting results of the research excellence framework using departmental h index revisited"
    - "comparison of a citation based indicator and peer review for absolute and specific measures of research group excellence"
    - "a new methodology for constructing a publication level classification system of science"

Connected through hyperedge HE-2 (induced by source paper "measuring the academic reputation through citation networks via pagerank"):
  with members:
    - "a critical comparative analysis of five world university rankings"
    - "wikipedia ranking of world universities"
    - "on the causes of subject specific citation rates in web of science"
    - "on the internal dynamics of the shanghai ranking"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "pagerank for ranking authors in co citation networks"

Connected through hyperedge HE-3 (induced by source paper "evaluating journal quality a review of journal citation indicators and ranking in business and management"):
  with members:
    - "a review of theory and practice in scientometrics"
    - "comprehensive indicator comparisons intelligible to non experts the case of two snip versions"
    - "identifying research fields within business and management a journal cross citation analysis"
    - "a review of the literature on citation impact indicators"
    - "aggregated journal journal citation relations in scopus and web of science matched and compared in terms of networks maps and interactive overlays"
    - "methods for the generation of normalized citation impact scores in bibliometrics which method best reflects the judgements of experts"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"

Connected through hyperedge HE-4 (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-5 (induced by source paper "a review of theory and practice in scientometrics"):
  with members:
    - "identifying research fields within business and management a journal cross citation analysis"
    - "patents as instruments for exploring innovation dynamics geographic and technological perspectives on photovoltaic cells"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"
    - "which percentile based approach should be preferred for calculating normalized citation impact values an empirical comparison of five approaches including a newly developed citation rank approach p100"
    - "the revised snip indicator of elsevier s scopus"
    - "interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal journal citations"

Connected through hyperedge HE-6 (induced by source paper "finding and recommending scholarly articles"):
  with members:
    - "finding your literature match a recommender system"
    - "eigenfactor does the principle of repeated improvement result in better journal impact estimates than raw citation counts"
    - "worldwide use and impact of the nasa astrophysics data system digital library"
    - "advice from the oracle really intelligent information retrieval"

Connected through hyperedge HE-7 (induced by source paper "de retibus socialibus et legibus momenti"):
  with members:
    - "nepotistic relationships in twitter and their impact on rank prestige algorithms"
    - "influence and passivity in social media"
    - "social networks that matter twitter under the microscope"

Connected through hyperedge HE-8 (induced by source paper "the relation between eigenfactor audience factor and influence weight"):
  with members:
    - "pagerank for ranking authors in co citation networks"
    - "measuring contextual citation impact of scientific journals"
    - "a principal component analysis of 39 scientific impact measures"
    - "the sjr indicator a new indicator of journals scientific prestige"
    - "eigenfactor does the principle of repeated improvement result in better journal impact estimates than raw citation counts"

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)