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 "diversification versus specialization in scientific research which strategy pays off"):
  Abstract: The current work addresses a theme previously unexplored in the literature: that of whether the results arising from research activity in fields other than the scientist's primary field have greater value than the others. Operationally, the authors proceed by identifying: the scientific production of each researcher under observation; field classification of the publications; the field containing the greatest number of the researcher's publications; attribution of value of each publication. The results show that diversification at the aggregate level does not pay off, although there are some exceptions at the level of individual disciplines. The implications at policy level are notable. Since the incentive systems of research organizations are based on the impact of scientific output, the scientists concerned could resist engaging in multidisciplinary projects.

Includes members:
  Member "the effects of gender age and academic rank on research diversification":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "authorship analysis of specialized vs diversified research output")
  Member "the effect of multidisciplinary collaborations on research diversification":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "authorship analysis of specialized vs diversified research output")
  Member "do interdisciplinary research teams deliver higher gains to science":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "authorship analysis of specialized vs diversified research output")
  Member "specialization versus diversification in research activities the extent intensity and relatedness of field diversification by individual scientists":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "authorship analysis of specialized vs diversified research output")
  Member "what is the appropriate length of the publication period over which to assess research performance":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "revisiting the scaling of citations for research assessment":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a nation s foreign and domestic professors which have better research performance the italian case")
  Member "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "assessing the varying level of impact measurement accuracy as a function of the citation window length":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "should citations be field normalized in evaluative bibliometrics an empirical analysis based on propensity score matching")

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)