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 "quantifying engagement with citations on wikipedia"):
  Abstract: Wikipedia, the free online encyclopedia that anyone can edit, is one of the most visited sites on the Web and a common source of information for many users. As an encyclopedia, Wikipedia is not a source of original information, but was conceived as a gateway to secondary sources: according to Wikipedia's guidelines, facts must be backed up by reliable sources that reflect the full spectrum of views on the topic. Although citations lie at the very heart of Wikipedia, little is known about how users interact with them. To close this gap, we built client-side instrumentation for logging all interactions with links leading from English Wikipedia articles to cited references during one month, and conducted the first analysis of readers' interaction with citations on Wikipedia. We find that overall engagement with citations is low: about one in 300 page views results in a reference click (0.29% overall; 0.56% on desktop; 0.13% on mobile). Matched observational studies of the factors associated with reference clicking reveal that clicks occur more frequently on shorter pages and on pages of lower quality, suggesting that references are consulted more commonly when Wikipedia itself does not contain the information sought by the user. Moreover, we observe that recent content, open access sources and references about life events (births, deaths, marriages, etc) are particularly popular. Taken together, our findings open the door to a deeper understanding of Wikipedia's role in a global information economy where reliability is ever less certain, and source attribution ever more vital.

Includes members:
  Member "citation needed a taxonomy and algorithmic assessment of wikipedia s verifiability":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fact check worthiness detection as positive unlabelled learning")
  Member "mapping the backbone of the humanities through the eyes of wikipedia":
    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 "detecting and gauging impact on wikipedia page views":
    also connected through other hyperedges:
      (none)
  Member "eliciting new wikipedia users interests via automatically mined questionnaires for a warm welcome not a cold start":
    also connected through other hyperedges:
      (none)
  Member "why the world reads wikipedia beyond english speakers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "what is trending on wikipedia capturing trends and language biases across wikipedia editions")
  Member "structuring wikipedia articles with section recommendations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "sector a neural model for coherent topic segmentation and classification")
  Member "amplifying the impact of open access wikipedia and the diffusion of science":
    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")
  Member "why we read wikipedia":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "what is trending on wikipedia capturing trends and language biases across wikipedia editions")

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.CY(Computers and Society)