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 "comparing journals from different fields of science and social science through a jcr subject categories normalized impact factor"):
  Abstract: The journal Impact Factor (IF) 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 decomposing of the field aggregate impact factor into five normally distributed variables is presented. Considering these factors, a principal component analysis is employed to find the sources of the variance in the Journal Citation Reports (JCR) subject categories of science and social science. Although publication and citation behaviour differs largely across disciplines, principal components explain more than 78 % of the total variance and the average number of references per paper is not the primary factor explaining the variance in impact factors across categories. The categories normalized impact factor based on the JCR subject category list is proposed and compared with the IF. This normalization is achieved by considering all the indexing categories of each journal. An empirical application, with one hundred journals in two or more subject categories of economics and business, shows that the gap between rankings is reduced around 32 % in the journals analyzed. This gap is obtained as the maximum distance among the ranking percentiles from all categories where each journal is included.

Includes members:
  Member "central indexes to the citation distribution a complement to the h index":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "h α an index to quantify an individual s scientific leadership")
  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-2 (induced by source paper "patterns of authors contribution in scientific manuscripts")
  Member "scopus s source normalized impact per paper snip versus a journal impact factor based on fractional counting of citations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "field normalization of scientometric indicators")
  Member "normalization at the field level fractional counting of citations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "creativity in science and the link to cited references is the creative potential of papers reflected in their cited references")
  Member "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance":
    also connected through other hyperedges:
      - Hyperedge HE-5 (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 "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 "the relation between eigenfactor audience factor and influence weight":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "field normalization of scientometric 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)