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: "impact maturity times and citation time windows the 2 year maximum journal impact factor"
  Abstract: Journal metrics are employed for the assessment of scientific scholar journals from a general bibliometric perspective. In this context, the Thomson Reuters journal impact factors (JIFs) are the citation-based indicators most used. The 2-year journal impact factor (2-JIF) counts citations to one and two year old articles, while the 5-year journal impact factor (5-JIF) counts citations from one to five year old articles. Nevertheless, these indicators are not comparable among fields of science for two reasons: (i) each field has a different impact maturity time, and (ii) because of systematic differences in publication and citation behavior across disciplines. In fact, the 5-JIF firstly appeared in the Journal Citation Reports (JCR) in 2007 with the purpose of making more comparable impacts in fields in which impact matures slowly. However, there is not an optimal fixed impact maturity time valid for all the fields. In some of them two years provides a good performance whereas in others three or more years are necessary. Therefore, there is a problem when comparing a journal from a field in which impact matures slowly with a journal from a field in which impact matures rapidly. In this work, we propose the 2-year maximum journal impact factor (2M-JIF), a new impact indicator that considers the 2-year rolling citation time window of maximum impact instead of the previous 2-year time window. Finally, an empirical application comparing 2-JIF, 5-JIF, and 2M-JIF shows that the maximum rolling target window reduces the between-group variance with respect to the within-group variance in a random sample of about six hundred journals from eight different fields.

Connected through hyperedge HE-1 (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-2 (induced by source paper "an approach to the author citation potential measures of scientific performance which are invariant across scientific fields"):
  with members:
    - "journal topic citation potential and between field comparisons the topic normalized 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-3 (induced by source paper "journal topic citation potential and between field comparisons the topic normalized impact factor"):
  with members:
    - "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"
    - "indicators of the interdisciplinarity of journals diversity centrality and citations"
    - "rivals for the crown reply to opthof and leydesdorff"
    - "measuring contextual citation impact of scientific journals"
    - "can scientific journals be classified in terms of aggregated journal journal citation relations using the journal citation reports"

Connected through hyperedge HE-4 (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:
    - "journal topic citation potential and between field comparisons the topic normalized 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)