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 ratio of top scientists to the academic staff as an indicator of the competitive strength of universities"):
  Abstract: The ability to attract and retain talented professors is a distinctive competence of world-class universities and a source of competitive advantage. The ratio of top scientists to academic staff could therefore be an indicator of the competitive strength of the universities. This work identifies the Italian top scientists in over 200 fields, by their research productivity. It then ranks the relative universities by the ratio of top scientists to overall faculty. Finally, it contrasts this list with the ranking list by average productivity of the overall faculty. The analysis is carried out at the field, discipline, and overall university levels. The paper also explores the secondary question of whether the ratio of top scientists to faculty is related to the size of the university.

Includes members:
  Member "measuring science irresistible temptations easy shortcuts and dangerous consequences":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the collaboration behavior of top scientists")
  Member "the impact of unproductive and top researchers on overall university research performance":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "from rankings to funnel plots the question of accounting for uncertainty when assessing university research performance":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the research production of nations and departments a statistical model for the share of publications")
  Member "ranking research institutions by the number of highly cited articles per scientist":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "the determinants of academic career advancement evidence from italy":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "peer review versus bibliometrics which method better predicts the scholarly impact of publications")
  Member "which of the world s institutions employ the most highly cited researchers an analysis of the data from highlycited com":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "opium in science and society numbers")
  Member "how do you define and measure research productivity":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the h index for research assessment simple and popular but shown by mathematical analysis to be inconsistent and misleading")
  Member "variability of research performance across disciplines within universities in non competitive higher education systems":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "the combined effects of age and seniority on research performance of full professors")

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)