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: "measuring contextual citation impact of scientific journals"
  Abstract: This paper explores a new indicator of journal citation impact, denoted as source normalized impact per paper (SNIP). It measures a journal's contextual citation impact, taking into account characteristics of its properly defined subject field, especially the frequency at which authors cite other papers in their reference lists, the rapidity of maturing of citation impact, and the extent to which a database used for the assessment covers the field's literature. It further develops Eugene Garfield's notions of a field's 'citation potential' defined as the average length of references lists in a field and determining the probability of being cited, and the need in fair performance assessments to correct for differences between subject fields. A journal's subject field is defined as the set of papers citing that journal. SNIP is defined as the ratio of the journal's citation count per paper and the citation potential in its subject field. It aims to allow direct comparison of sources in different subject fields. Citation potential is shown to vary not only between journal subject categories - groupings of journals sharing a research field - or disciplines (e.g., journals in mathematics, engineering and social sciences tend to have lower values than titles in life sciences), but also between journals within the same subject category. For instance, basic journals tend to show higher citation potentials than applied or clinical journals, and journals covering emerging topics higher than periodicals in classical subjects or more general journals. SNIP corrects for such differences. Its strengths and limitations are critically discussed, and suggestions are made for further research. All empirical results are derived from Elsevier's Scopus.

Connected through hyperedge HE-1 (induced by source paper "how well does i3 perform for impact measurement compared to other bibliometric indicators the convergent validity of several field normalized indicators"):
  with members:
    - "which differences can be expected when two universities in the leiden ranking are compared some benchmarks for institutional research evaluations"
    - "creativity in science and the link to cited references is the creative potential of papers reflected in their cited references"
    - "revisiting relative indicators and provisional truths"
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "citation score normalized by cited references csncr the introduction of a new citation impact indicator"
    - "a review of theory and practice in scientometrics"
    - "a review of the literature on citation impact indicators"
    - "how are excellent highly cited papers defined in bibliometrics a quantitative analysis of the literature"

Connected through hyperedge HE-2 (induced by source paper "co citations in context disciplinary heterogeneity is relevant"):
  with members:
    - "from louvain to leiden guaranteeing well connected communities"
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "research portfolio analysis and topic prominence"
    - "citing for high impact"

Connected through hyperedge HE-3 (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"
    - "comparing bibliometric statistics obtained from the web of science and scopus"

Connected through hyperedge HE-4 (induced by source paper "filtering journal impact factor rank by specific parameters"):
  with members:
    - "indicators of the interdisciplinarity of journals diversity centrality and citations"

Connected through hyperedge HE-5 (induced by source paper "field normalization of scientometric indicators"):
  with members:
    - "relative citation ratio rcr an empirical attempt to study a new field normalized bibliometric indicator"
    - "citation analysis with microsoft academic"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "a comparison of university performance scores and ranks by mncs and fss"
    - "a farewell to the mncs and like size independent indicators"
    - "citation score normalized by cited references csncr the introduction of a new citation impact indicator"
    - "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"
    - "quality versus quantity in scientific impact"

Connected through hyperedge HE-6 (induced by source paper "reviewing indicating and counting books for modern research evaluation systems"):
  with members:
    - "filling the citation gap measuring the multidimensional impact of the academic book at institutional level with plumx"
    - "analyzing the citation characteristics of books edited books book series and publisher types in the book citation index"
    - "the role of handbooks in knowledge creation and diffusion a case of science and technology studies"
    - "mapping citation patterns of book chapters in the book citation index"
    - "comparing journals from different fields of science and social science through a jcr subject categories normalized impact factor"
    - "towards a book publishers citation reports first approach using the book citation index"

Connected through hyperedge HE-7 (induced by source paper "the journal impact factor a brief history critique and discussion of adverse effects"):
  with members:
    - "use of the journal impact factor for assessing individual articles need not be wrong"
    - "rise of the rest the growing impact of non elite journals"
    - "the weakening relationship between the impact factor and papers citations in the digital age"
    - "a further step forward in measuring journals scientific prestige the sjr2 indicator"
    - "some modifications to the snip journal impact indicator"

Connected through hyperedge HE-8 (induced by source paper "use of the journal impact factor for assessing individual articles need not be wrong"):
  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"
    - "a review of the literature on citation impact indicators"
    - "a further step forward in measuring journals scientific prestige the sjr2 indicator"
    - "impact factor outdated artefact or stepping stone to journal certification"
    - "some modifications to the snip journal impact indicator"
    - "universality of citation distributions revisited"
    - "citations versus journal impact factor as proxy of quality could the latter ever be preferable"

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)