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 "should citations be field normalized in evaluative bibliometrics an empirical analysis based on propensity score matching"):
  Abstract: Field normalization of citations is bibliometric standard. Despite the observed impact differences between fields, the question remains how strong fields influence the citation impact of papers. We wondered whether field differences can be traced back to other factors (than fields) possibly influencing citations (FICs) or are "pure" field effects. We considered several FICs such as number of pages and number of co-authors. Using the propensity score matching approach, we investigated with Web of Science data whether papers with the same or similar attributes (e.g., number of co-authors and number of pages) received different citations when they were assigned to different fields. In a diagnostic step of our statistical analyses, we considered propensity scores as covariates in regression analyses to examine whether the differences between the fields vanish. The results revealed that the differences did not completely vanish, but were significantly reduced. We received similar results when we calculated mean value differences of the fields after inverse-probability of treatment weighting representing the causal or unconfounded field effects on citations. One possible interpretation of our results is that field-differences in citations exist which are relatively independent of other FICs. Another possible interpretation is that field-differences could vanish in principle.

Includes members:
  Member "the preeminence of ethnic diversity in scientific collaboration":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "neural embeddings of scholarly periodicals reveal complex disciplinary organizations")
  Member "the geography of references in elite articles which countries contribute to the archives of knowledge":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the challenges ahead of spatial scientometrics focusing on the city level")
  Member "field normalization of scientometric indicators":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a multidimensional perspective on the citation impact of scientific publications")
  Member "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "practical method to reclassify web of science articles into unique subject categories and broad disciplines")
  Member "relative citation ratio rcr an empirical attempt to study a new field normalized bibliometric indicator":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "field normalization of scientometric indicators")
  Member "validity of basing authors publication strategy on journal impact factors":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "skewness of citation impact data and covariates of citation distributions a large scale empirical analysis based on web of science data")
  Member "a review of theory and practice in scientometrics":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data")
  Member "large scale analysis of the accuracy of the journal classification systems of web of science and scopus":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a tale of two databases the use of web of science and scopus in academic papers")

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)