human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a novel method for depicting academic disciplines through google scholar citations the case of bibliometrics"):
  Abstract: This article describes a procedure to generate a snapshot of the structure of a specific scientific community and their outputs based on the information available in Google Scholar Citations (GSC). We call this method multifaceted analysis of disciplines through academic profiles (MADAP). The international community of researchers working in Bibliometrics, Scientometrics, Informetrics, Webometrics, and Altmetrics was selected as a case study. The records of the top 1000 most cited documents by these authors according to GSC were manually processed to fill any missing information and deduplicate fields like the journal titles and book publishers. The results suggest that it is feasible to use GSC and the MADAP method to produce an accurate depiction of the community of researchers working in Bibliometrics (both specialists and occasional researchers) and their publication habits (main publication venues such as journals and book publishers). Additionally, the wide document coverage of Google Scholar (specially books and book chapters) enables more comprehensive analyses of the documents published in a specific discipline than were previously possible with other citation indexes, finally shedding light on what until now had been a blind spot in most citation analyses.

Includes members:
  Member "can we use google scholar to identify highly cited documents":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "author level metrics in the new academic profile platforms the online behaviour of the bibliometrics community")
  Member "a two sided academic landscape portrait of highly cited documents in google scholar 1950 2013":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "challenges of measuring software impact through citations an examination of the lme4 r package")
  Member "methods for estimating the size of google scholar":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "coverage of highly cited documents in google scholar web of science and scopus a multidisciplinary comparison")
  Member "information metrics imetrics a research specialty with a socio cognitive identity":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "interdisciplinarity as diversity in citation patterns among journals rao stirling diversity relative variety and the gini coefficient")
  Member "the google scholar experiment how to index false papers and manipulate bibliometric indicators":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "hunting for supernovae articles in the universe of scientometrics")
  Member "coverage and adoption of altmetrics sources in the bibliometric community":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "do altmetrics assess societal impact in a comparable way to case studies an empirical test of the convergent validity of altmetrics based on data from the uk research excellence framework ref")
  Member "beyond citations scholars visibility on the social web":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "author level metrics in the new academic profile platforms the online behaviour of the bibliometrics community")

Question: Please tell me which class the source paper 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)