human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "restricting the h index to a publication and citation time window a case study of a timed hirsch index"
  Abstract: The h-index has been shown to increase in many cases mostly because of citations to rather old publications. This inertia can be circumvented by restricting the evaluation to a publication and citation time window. Here I report results of an empirical study analyzing the evolution of the thus defined timed h-index in dependence on the length of the time window.

Connected through hyperedge HE-1 (induced by source paper "h index and its alternative a review"):
  with members:
    - "a variant of the h index to measure recent performance"
    - "a review of the characteristics of 108 author level bibliometric indicators"
    - "impact vitality a measure for excellent scientists"
    - "socializing the h index"
    - "simple arithmetic versus intuitive understanding the case of the impact factor"
    - "central indexes to the citation distribution a complement to the h index"
    - "the inconsistency of the h index"
    - "weighted indices for evaluating the quality of research with multiple authorship"

Connected through hyperedge HE-2 (induced by source paper "a framework for the measurement and prediction of an individual scientist s performance"):
  with members:
    - "how do you define and measure research productivity"
    - "how to evaluate individual researchers working in the natural and life sciences meaningfully a proposal of methods based on percentiles of citations"
    - "individual research performance a proposal for comparing apples to oranges"
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"
    - "the inconsistency of the h index"
    - "assessing scientific research performance and impact with single indices"

Connected through hyperedge HE-3 (induced by source paper "patterns of authors contribution in scientific manuscripts"):
  with members:
    - "using network science and text analytics to produce surveys in a scientific topic"
    - "authorship recognition via fluctuation analysis of network topology and word intermittency"
    - "a review of the literature on citation impact indicators"
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"
    - "a recursive field normalized bibliometric performance indicator an application to the field of library and information science"

Question: Please tell me which class the center node 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)