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: "what is the effect of country specific characteristics on the research performance of scientific institutions using multi level statistical models to rank and map universities and research focused institutions worldwide"
  Abstract: Bornmann, Stefaner, de Moya Anegon, and Mutz (in press) have introduced a web application (www.excellencemapping.net) which is linked to both academic ranking lists published hitherto (e.g. the Academic Ranking of World Universities) as well as spatial visualization approaches. The web application visualizes institutional performance within specific subject areas as ranking lists and on custom tile-based maps. The new, substantially enhanced version of the web application and the multilevel logistic regression on which it is based are described in this paper. Scopus data were used which have been collected for the SCImago Institutions Ranking. Only those universities and research-focused institutions are considered that have published at least 500 articles, reviews and conference papers in the period 2006 to 2010 in a certain Scopus subject area. In the enhanced version, the effect of single covariates (such as the per capita GDP of a country in which an institution is located) on two performance metrics (best paper rate and best journal rate) is examined and visualized. A covariate-adjusted ranking and mapping of the institutions is produced in which the single covariates are held constant. The results on the performance of institutions can then be interpreted as if the institutions all had the same value (reference point) for the covariate in question. For example, those institutions can be identified worldwide showing a very good performance despite a bad financial situation in the corresponding country.

Connected through hyperedge HE-1 (induced by source paper "should citations be field normalized in evaluative bibliometrics an empirical analysis based on propensity score matching"):
  with members:
    - "the preeminence of ethnic diversity in scientific collaboration"
    - "the geography of references in elite articles which countries contribute to the archives of knowledge"
    - "field normalization of scientometric indicators"
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "relative citation ratio rcr an empirical attempt to study a new field normalized bibliometric indicator"
    - "validity of basing authors publication strategy on journal impact factors"
    - "a review of theory and practice in scientometrics"
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"

Connected through hyperedge HE-2 (induced by source paper "the evolution of ijhcs and chi a quantitative analysis"):
  with members:
    - "reducing the effort for systematic reviews in software engineering"
    - "towards evidence based ontology for supporting systematic literature review"
    - "the detection of hot regions in the geography of science a visualization approach by using density maps"

Connected through hyperedge HE-3 (induced by source paper "core elements in the process of citing publications conceptual overview of the literature"):
  with members:
    - "the number of linked references of publications in microsoft academic in comparison with the web of science"
    - "citation analysis with microsoft academic"
    - "characterizing in text citations in scientific articles a large scale analysis"
    - "the coverage of microsoft academic analyzing the publication output of a university"
    - "excellence networks in science a web based application based on bayesian multilevel logistic regression bmlr for the identification of institutions collaborating successfully"
    - "on the causes of subject specific citation rates in web of science"
    - "how to evaluate individual researchers working in the natural and life sciences meaningfully a proposal of methods based on percentiles of citations"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"

Connected through hyperedge HE-4 (induced by source paper "can the journal impact factor be used as a criterion for the selection of junior researchers a large scale empirical study based on researcherid data"):
  with members:
    - "testing the trade off between productivity and quality in research activities"
    - "an investigation on the skewness patterns and fractal nature of research productivity distributions at field and discipline level"
    - "use of the journal impact factor for assessing individual articles need not be wrong"
    - "a farewell to the mncs and like size independent indicators"
    - "a review of the literature on citation impact indicators"
    - "methods for the generation of normalized citation impact scores in bibliometrics which method best reflects the judgements of experts"
    - "how to evaluate individual researchers working in the natural and life sciences meaningfully a proposal of methods based on percentiles of citations"
    - "towards a new crown indicator an empirical analysis"

Connected through hyperedge HE-5 (induced by source paper "the journal impact factor should not be discarded"):
  with members:
    - "a review of the literature on citation impact indicators"

Connected through hyperedge HE-6 (induced by source paper "excellence networks in science a web based application based on bayesian multilevel logistic regression bmlr for the identification of institutions collaborating successfully"):
  with members:
    - "field normalized citation impact indicators and the choice of an appropriate counting method"
    - "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"
    - "international collaboration in science the global map and the network"
    - "on the calculation of percentile based bibliometric indicators"
    - "a further step forward in measuring journals scientific prestige the sjr2 indicator"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "globalisation of science in kilometres"

Connected through hyperedge HE-7 (induced by source paper "alternative metrics in scientometrics a meta analysis of research into three altmetrics"):
  with members:
    - "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"
    - "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"
    - "real time classification of twitter trends"
    - "tweeting biomedicine an analysis of tweets and citations in the biomedical literature"
    - "the role of twitter in the life cycle of a scientific publication"
    - "coverage and adoption of altmetrics sources in the bibliometric community"
    - "the use of percentiles and percentile rank classes in the analysis of bibliometric data opportunities and limits"

Connected through hyperedge HE-8 (induced by source paper "assessing national strengths and weaknesses in research fields"):
  with members:
    - "measuring science irresistible temptations easy shortcuts and dangerous consequences"
    - "the collaboration behaviors of scientists in italy a field level analysis"
    - "what is the appropriate length of the publication period over which to assess research performance"
    - "mapping excellence in the geography of science an approach based on scopus data"
    - "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.DL(Digital Libraries)