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: "empirical patterns in google scholar citation counts"
  Abstract: Scholarly impact can be measured crudely by the number of citations as a approximate indication of impact in terms of influencing other researchers, but this metric varies in applicability between disciplines. The number of citations for each publication of an author can be mapped as a graph in various ways. In doing so, certain empirical patterns may be discerned. This paper explores these patterns, using citation data from Google Scholar for a number of authors.

Connected through hyperedge HE-1 (induced by source paper "citations to articles citing benford s law a benford analysis"):
  with members:
    - "effects of publications in proceedings on the measure of the core size of coauthors"

Connected through hyperedge HE-2 (induced by source paper "comparing source coverage citation counts and speed of indexing in google scholar and scopus"):
  with members:
    - "methods for estimating the size of google scholar"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "an exploratory study of google scholar"

Connected through hyperedge HE-3 (induced by source paper "a new methodology for comparing google scholar and scopus"):
  with members:
    - "methods for estimating the size of google scholar"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "an exploratory study of google scholar"

Connected through hyperedge HE-4 (induced by source paper "provably correct systems community connections and citations"):
  with members:
    - "visualising virtual communities from erd h o s to the arts"

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)