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 "the tournaments metaphor in citation impact studies power weakness ratios pwr as a journal indicator"):
  Abstract: Ramanujacharyulu's (1964) Power-Weakness Ratio (PWR) measures impact by recursively multiplying the citation matrix by itself until convergence is reached in both the cited and citing dimensions; the quotient of these values is defined as PWR, whereby "cited" is considered as power and "citing" as weakness. Analytically, PWR is an attractive candidate for measuring journal impact because of its symmetrical handling of the rows and columns in the asymmetrical citation matrix, its recursive algorithm, and its mathematical elegance. In this study, PWR is discussed and critically assessed in relation to other size-independent recursive metrics. A test using the set of 83 journals in "information and library science" (according to the Web-of-Science categorization) converged, but did not provide interpretable results. Further decomposition of this set into homogeneous sub-graphs shows that--like most other journal indicators--PWR can perhaps be used within homogeneous sets, but not across citation communities.

Includes members:
  Member "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "practical method to reclassify web of science articles into unique subject categories and broad disciplines")
  Member "information metrics imetrics a research specialty with a socio cognitive identity":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "interdisciplinarity as diversity in citation patterns among journals rao stirling diversity relative variety and the gini coefficient")
  Member "a further step forward in measuring journals scientific prestige the sjr2 indicator":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "prevalence of potentially predatory publishing in scopus on the country level")
  Member "percentile ranks and the integrated impact indicator i3":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an evaluation of percentile measures of citation impact and a proposal for making them better")
  Member "a recursive field normalized bibliometric performance indicator an application to the field of library and information science":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "patterns of authors contribution in scientific manuscripts")
  Member "how journal rankings can suppress interdisciplinary research a comparison between innovation studies and business management":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the differing meanings of indicators under different policy contexts the case of internationalisation")
  Member "towards a new crown indicator some theoretical considerations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "how well does i3 perform for impact measurement compared to other bibliometric indicators the convergent validity of several field normalized indicators")
  Member "weighted citation an indicator of an article s prestige":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "do all citations value the same valuing citations by the value of the citing items")

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)