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 "tracking the digital footprints to scholarly articles from social media"):
  Abstract: Scholarly articles are discussed and shared on social media, which generates altmetrics. On the opposite side, what is the impact of social media on the dissemination of scholarly articles and how to measure it? What are the visiting patterns? Investigating these issues, the purpose of this study is to seek a solution to fill the research gap, specifically, to explore the dynamic visiting patterns directed by social media, and examine the effects of social buzz on the article visits. Using the unique real referral data of 110 scholarly articles, which are daily updated in a 90-day period, this paper proposes a novel method to make analysis. We find that visits from social media are fast to accumulate but decay rapidly. Twitter and Facebook are the two most important social referrals that directing people to scholarly articles, the two are about the same and account for over 95 % of the total social referral directed visits. There is synchronism between tweets and tweets resulted visits. Social media and open access are playing important roles in disseminating scholarly articles and promoting public understanding science, which are confirmed quantitatively for the first time with real data in this study.

Includes members:
  Member "tracing digital footprints to academic articles an investigation of peerj publication referral data":
    also connected through other hyperedges:
      (none)
  Member "the open access advantage considering citation article usage and social media attention":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "publication modalities article in press and open access in relation to journal average citation")
  Member "usage history of scientific literature nature metrics and metrics of nature publications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "could scientists use altmetric com scores to predict longer term citation counts")
  Member "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")
  Member "alternative metrics in scientometrics a meta analysis of research into three altmetrics":
    also connected through other hyperedges:
      - Hyperedge HE-4 (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 "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")
  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")

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)