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: "a two sided academic landscape portrait of highly cited documents in google scholar 1950 2013"
  Abstract: The main objective of this paper is to identify the set of highly-cited documents in Google Scholar and to define their core characteristics (document types, language, free availability, source providers, and number of versions), under the hypothesis that the wide coverage of this search engine may provide a different portrait about this document set respect to that offered by the traditional bibliographic databases. To do this, a query per year was carried out from 1950 to 2013 identifying the top 1,000 documents retrieved from Google Scholar and obtaining a final sample of 64,000 documents, of which 40% provided a free full-text link. The results obtained show that the average highly-cited document is a journal article or a book (62% of the top 1% most cited documents of the sample), written in English (92.5% of all documents) and available online in PDF format (86.0% of all documents). Yet, the existence of errors especially when detecting duplicates and linking cites properly must be pointed out. The fact of managing with highly cited papers, however, minimizes the effects of these limitations. Given the high presence of books, and to a lesser extend of other document types (such as proceedings or reports), the research concludes that Google Scholar data offer an original and different vision of the most influential academic documents (measured from the perspective of their citation count), a set composed not only by strictly scientific material (journal articles) but academic in its broad sense

Connected through hyperedge HE-1 (induced by source paper "challenges of measuring software impact through citations an examination of the lme4 r package"):
  with members:
    - "journal of open source software joss design and first year review"
    - "citation content analysis cca a framework for syntactic and semantic analysis of citation content"

Connected through hyperedge HE-2 (induced by source paper "coverage of highly cited documents in google scholar web of science and scopus a multidisciplinary comparison"):
  with members:
    - "evidence of open access of scientific publications in google scholar a large scale analysis"
    - "google scholar as a data source for research assessment"
    - "can we use google scholar to identify highly cited documents"
    - "the accuracy of confidence intervals for field normalised indicators"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "methods for estimating the size of google scholar"
    - "a new methodology for comparing google scholar and scopus"

Connected through hyperedge HE-3 (induced by source paper "google scholar as a data source for research assessment"):
  with members:
    - "can we use google scholar to identify highly cited documents"
    - "2016 google scholar metrics released a matter of languages and something else"
    - "methods for estimating the size of google scholar"
    - "a new methodology for comparing google scholar and scopus"
    - "google scholar metrics 2014 a low cost bibliometric tool"
    - "does google scholar contain all highly cited documents 1950 2013"
    - "h index of scientific nursing journals according to google scholar metrics 2007 2011"
    - "ranking journals could google scholar metrics be an alternative to journal citation reports and scimago journal rank"

Connected through hyperedge HE-4 (induced by source paper "a novel method for depicting academic disciplines through google scholar citations the case of bibliometrics"):
  with members:
    - "can we use google scholar to identify highly cited documents"
    - "methods for estimating the size of google scholar"
    - "information metrics imetrics a research specialty with a socio cognitive identity"
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "coverage and adoption of altmetrics sources in the bibliometric community"
    - "beyond citations scholars visibility on the social web"

Connected through hyperedge HE-5 (induced by source paper "evidence of open access of scientific publications in google scholar a large scale analysis"):
  with members:
    - "developing indicators on open access by combining evidence from diverse data sources"
    - "can we use google scholar to identify highly cited documents"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "methods for estimating the size of google scholar"
    - "green and gold open access percentages and growth by discipline"

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)