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 "normalization of zero inflated data an empirical analysis of a new indicator family"):
  Abstract: Recently, two new indicators (Equalized Mean-based Normalized Proportion Cited, EMNPC, and Mean-based Normalized Proportion Cited, MNPC) were proposed which are intended for sparse data. We propose a third indicator (Mantel-Haenszel quotient, MHq) belonging to the same indicator family. The MHq is based on the MH analysis - an established method for polling the data from multiple 2x2 contingency tables based on different subgroups. We test (using citations and assessments by peers) if the three indicators can distinguish between different quality levels as defined on the basis of the assessments by peers (convergent validity). We find that the indicator MHq is able to distinguish between the quality levels in most cases while MNPC and EMNPC are not.

Includes members:
  Member "grand challenges in altmetrics heterogeneity data quality and dependencies":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")
  Member "national research impact indicators from mendeley readers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "readership data and research impact")
  Member "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime":
    also connected through other hyperedges:
      - Hyperedge HE-3 (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-4 (induced by source paper "readership data and research impact")
  Member "investigation of partition cells as a structural basis suitable for assessments of individual scientists":
    also connected through other hyperedges:
      - Hyperedge HE-5 (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 "inter rater reliability and convergent validity of f1000prime peer review":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the effects of research level and article type on the differences between citation metrics and f1000 recommendations")
  Member "partition based field normalization an approach to highly specialized publication records":
    also connected through other hyperedges:
      - Hyperedge HE-7 (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 "towards a new crown indicator an empirical analysis":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "impact factor volatility to a single paper a comprehensive 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)