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 "usage history of scientific literature nature metrics and metrics of nature publications"):
  Abstract: In this study, we analyze the dynamic usage history of Nature publications over time using Nature metrics data. We conduct analysis from two perspectives. On the one hand, we examine how long it takes before the articles' downloads reach 50 %/80 % of the total; on the other hand, we compare the percentage of total downloads in 7, 30, and 100 days after publication. In general, papers are downloaded most frequently within a short time period right after their publication. And we find that compared with non-Open Access papers, readers' attention on Open Access publications are more enduring. Based on the usage data of a newly published paper, regression analysis could predict the future expected total usage counts.

Includes members:
  Member "exploring scientists working timetable a global survey":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "detecting and tracking the real time hot topics a study on computational neuroscience")
  Member "tracing scientist s research trends realtimely":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "tracing digital footprints to academic articles an investigation of peerj publication referral data")
  Member "how the scientific community reacts to newly submitted preprints article downloads twitter mentions and citations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "shared feelings understanding facebook reactions to scholarly articles")
  Member "exploring scientists working timetable do scientists often work overtime":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "scholarly twitter metrics")
  Member "use of astronomical literature a report on usage patterns":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "usage bibliometrics as a tool to measure research activity")
  Member "ejournal interface can influence usage statistics implications for libraries publishers and project counter":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "detecting and tracking the real time hot topics a study on computational neuroscience")
  Member "worldwide use and impact of the nasa astrophysics data system digital library":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "economic power population and the size of astronomical community")
  Member "earlier web usage statistics as predictors of later citation impact":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "can microsoft academic assess the early citation impact of in press articles a multi discipline exploratory analysis")

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)