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 "journal topic citation potential and between field comparisons the topic normalized impact factor"):
  Abstract: The journal impact factor is not comparable among fields of science and social science because of systematic differences in publication and citation behaviour across disciplines. In this work, a source normalization of the journal impact factor is proposed. We use the aggregate impact factor of the citing journals as a measure of the citation potential in the journal topic, and we employ this citation potential in the normalization of the journal impact factor to make it comparable between scientific fields. An empirical application comparing some impact indicators with our topic normalized impact factor in a set of 224 journals from four different fields shows that our normalization, using the citation potential in the journal topic, reduces the between-group variance with respect to the within-group variance in a higher proportion than the rest of indicators analysed. The effect of journal self-citations over the normalization process is also studied.

Includes members:
  Member "impact maturity times and citation time windows the 2 year maximum journal impact factor":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a review of the literature on citation impact indicators")
  Member "comparing journals from different fields of science and social science through a jcr subject categories normalized impact factor":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "publication modalities article in press and open access in relation to journal average citation")
  Member "alternatives to the journal impact factor i3 and the top 10 or top 25 of the most highly cited papers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "evaluating journal quality a review of journal citation indicators and ranking in business and management")
  Member "source normalized indicators of citation impact an overview of different approaches and an empirical comparison":
    also connected through other hyperedges:
      - Hyperedge HE-4 (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 "central indexes to the citation distribution a complement to the h index":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "h α an index to quantify an individual s scientific leadership")
  Member "indicators of the interdisciplinarity of journals diversity centrality and citations":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "comparing the impact of subfields in scientific journals")
  Member "rivals for the crown reply to opthof and leydesdorff":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "field normalization of scientometric indicators")
  Member "measuring contextual citation impact of scientific journals":
    also connected through other hyperedges:
      - Hyperedge HE-8 (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")

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)