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: "journal topic citation potential and between field comparisons the topic normalized impact factor"
  Abstract: The journal impact factor is not comparable among fields of science and social science because of systematic differences in publication and citation behaviour across disciplines. In this work, a source normalization of the journal impact factor is proposed. We use the aggregate impact factor of the citing journals as a measure of the citation potential in the journal topic, and we employ this citation potential in the normalization of the journal impact factor to make it comparable between scientific fields. An empirical application comparing some impact indicators with our topic normalized impact factor in a set of 224 journals from four different fields shows that our normalization, using the citation potential in the journal topic, reduces the between-group variance with respect to the within-group variance in a higher proportion than the rest of indicators analysed. The effect of journal self-citations over the normalization process is also studied.

Connected through hyperedge HE-1 (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-2 (induced by source paper "specialization versus diversification in research activities the extent intensity and relatedness of field diversification by individual scientists"):
  with members:
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"
    - "identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications"
    - "a new methodology for constructing a publication level classification system of science"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"

Connected through hyperedge HE-3 (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-4 (induced by source paper "an approach to the author citation potential measures of scientific performance which are invariant across scientific fields"):
  with members:
    - "impact maturity times and citation time windows the 2 year maximum journal impact factor"
    - "comparing journals from different fields of science and social science through a jcr subject categories normalized impact factor"
    - "alternatives to the journal impact factor i3 and the top 10 or top 25 of the most highly cited papers"
    - "source normalized indicators of citation impact an overview of different approaches and an empirical comparison"
    - "central indexes to the citation distribution a complement to the h index"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"
    - "indicators of the interdisciplinarity of journals diversity centrality and citations"
    - "rivals for the crown reply to opthof and leydesdorff"

Connected through hyperedge HE-5 (induced by source paper "research status and trends in operations research and management science or ms journals a bibliometric analysis based on the web of science database 2001 2012"):
  with members:
    - "impact maturity times and citation time windows the 2 year maximum journal impact factor"
    - "comparing journals from different fields of science and social science through a jcr subject categories normalized impact factor"
    - "source normalized indicators of citation impact an overview of different approaches and an empirical comparison"
    - "central indexes to the citation distribution a complement to the h index"
    - "measuring contextual citation impact of scientific journals"
    - "the sjr indicator a new indicator of journals scientific prestige"

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)