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: "the danger of pseudo science in informetrics"
  Abstract: Two papers have been archived to which this letter is complementary: 1) Opthof and Leydesdorff arxiv:1002.2769 2) Van Raan et al. arxiv:1003.2113 Van Raan at all claims that the order of operations (first dividing then adding) does not apply to citation analysis. In my contribution I discuss a few analogues in Physics and Medicine and argue that in no other field of science where quantities have physical or financial meaning, implying that that numbers have a real unit of measure, it would be allowed to ignore the rule of operations. Hence, the claim of CWTS that the order of operations is not relevant brings studies ignoring this rule as done by CWTS in the category 'Pseudo Science'.

Connected through hyperedge HE-1 (induced by source paper "the revised snip indicator of elsevier s scopus"):
  with members:
    - "alternatives to the journal impact factor i3 and the top 10 or top 25 of the most highly cited papers"
    - "a further step forward in measuring journals scientific prestige the sjr2 indicator"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "some modifications to the snip journal impact indicator"
    - "testing differences statistically with the leiden ranking"
    - "scopus s source normalized impact per paper snip versus a journal impact factor based on fractional counting of citations"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"
    - "measuring contextual citation impact of scientific journals"

Connected through hyperedge HE-2 (induced by source paper "how to evaluate universities in terms of their relative citation impacts fractional counting of citations and the normalization of differences among disciplines"):
  with members:
    - "the knowledge based economy and the triple helix model"
    - "fractional counting of citations in research evaluation a cross and interdisciplinary assessment of the tsinghua university in beijing"
    - "scopus s source normalized impact per paper snip versus a journal impact factor based on fractional counting of citations"
    - "cwts crown indicator measures citation impact of a research group s publication oeuvre"
    - "towards a new crown indicator some theoretical considerations"
    - "normalization at the field level fractional counting of citations"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"
    - "rivals for the crown reply to opthof and leydesdorff"

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)