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 "scholarly use of social media and altmetrics a review of the literature"):
  Abstract: Social media has become integrated into the fabric of the scholarly communication system in fundamental ways: principally through scholarly use of social media platforms and the promotion of new indicators on the basis of interactions with these platforms. Research and scholarship in this area has accelerated since the coining and subsequent advocacy for altmetrics -- that is, research indicators based on social media activity. This review provides an extensive account of the state-of-the art in both scholarly use of social media and altmetrics. The review consists of two main parts: the first examines the use of social media in academia, examining the various functions these platforms have in the scholarly communication process and the factors that affect this use. The second part reviews empirical studies of altmetrics, discussing the various interpretations of altmetrics, data collection and methodological limitations, and differences according to platform. The review ends with a critical discussion of the implications of this transformation in the scholarly communication system.

Includes members:
  Member "interpreting altmetrics viewing acts on social media through the lens of citation and social theories":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the differing meanings of indicators under different policy contexts the case of internationalisation")
  Member "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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 "tweets vs mendeley readers how do these two social media metrics differ":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "readership data and research impact")
  Member "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")
  Member "tweets as impact indicators examining the implications of automated bot accounts on twitter":
    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 "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")
  Member "new data new possibilities exploring the insides of altmetric com":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")
  Member "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")

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)