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 "mapping the backbone of the humanities through the eyes of wikipedia"):
  Abstract: Abstract   The present study aims to establish a valid method by which to apply the co-citation methodology to Wikipedia article references and, subsequently, to map these relationships between scientific papers. This method, originally applied to scientific literature, will be transferred to the digital environment of collective knowledge generation. To this end, a dataset containing Wikipedia references collected from Altmetric and Scopus’ Journal Metrics journals has been used. The articles have been categorized according to the disciplines and specialties established in the All Science Journal Classification (ASJC). They have also been grouped by journal of publication. A set of articles in the Humanities, comprising 25555 Wikipedia articles with 41655 references to 32245 resources, has been selected. Finally, a descriptive statistical study has been conducted and co-citations have been mapped using networks of degree centrality and intermediation.

Includes members:
  Member "amplifying the impact of open access wikipedia and the diffusion of science":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "quantifying engagement with citations on wikipedia")
  Member "mapping citation patterns of book chapters in the book citation index":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "science through wikipedia a novel representation of open knowledge through co citation networks")
  Member "global maps of science based on the new web of science categories":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "science through wikipedia a novel representation of open knowledge through co citation networks")
  Member "the structure of the arts humanities citation index a mapping on the basis of aggregated citations among 1 157 journals":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "science through wikipedia a novel representation of open knowledge through co citation networks")
  Member "science overlay maps a new tool for research policy and library management":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "science through wikipedia a novel representation of open knowledge through co citation networks")

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)