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 "towards usage based impact metrics first results from the mesur project"):
  Abstract: Scholarly usage data holds the potential to be used as a tool to study the dynamics of scholarship in real time, and to form the basis for the definition of novel metrics of scholarly impact. However, the formal groundwork to reliably and validly exploit usage data is lacking, and the exact nature, meaning and applicability of usage-based metrics is poorly understood. The MESUR project funded by the Andrew W. Mellon Foundation constitutes a systematic effort to define, validate and cross-validate a range of usage-based metrics of scholarly impact. MESUR has collected nearly 1 billion usage events as well as all associated bibliographic and citation data from significant publishers, aggregators and institutional consortia to construct a large-scale usage data reference set. This paper describes some major challenges related to aggregating and processing usage data, and discusses preliminary results obtained from analyzing the MESUR reference data set. The results confirm the intrinsic value of scholarly usage data, and support the feasibility of reliable and valid usage-based metrics of scholarly impact.

Includes members:
  Member "a practical ontology for the large scale modeling of scholarly artifacts and their usage":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "general purpose computing on a semantic network substrate")
  Member "usage impact factor the effects of sample characteristics on usage based impact metrics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "readership data and research impact")
  Member "worldwide use and impact of the nasa astrophysics data system digital library":
    also connected through other hyperedges:
      - Hyperedge HE-3 (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-4 (induced by source paper "can microsoft academic assess the early citation impact of in press articles a multi discipline exploratory analysis")
  Member "the bibliometric properties of article readership information":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "readership data and research impact")
  Member "toward alternative metrics of journal impact a comparison of download and citation data":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the relationship between usage and citations in an open access mega journal")

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)