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 spin off of elite universities in non competitive undifferentiated higher education systems an empirical simulation in italy"):
  Abstract: Higher education systems featuring intense competition have developed world-class universities, capable of attracting top professors and students and considerable public–private funding. This does not occur in non-competitive systems, where highly talented faculty and students are dispersed across all institutions. In such systems, the authors propose the budding of spin-off universities, staffed by the migration of top scientists from the entire public research system. This article illustrates the proposal through an example: the spin-off of a new university in Rome, Italy staffed with the best professors from the three current public city universities. Such a faculty would offer top national research productivity, a magnet to attract the other critical ingredients of a world-class university: talented students, abundant resources and visionary governance.

Includes members:
  Member "revisiting size effects in higher education research productivity":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "the dispersion of research performance within and between universities as a potential indicator of the competitive intensity in higher education systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "peer review versus bibliometrics which method better predicts the scholarly impact of publications")
  Member "the field standardized average impact of national research systems compared to world average the case of italy":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the ratio of top scientists to the academic staff as an indicator of the competitive strength of universities")
  Member "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "national scale research performance assessment at the individual level":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a sensitivity analysis of researchers productivity rankings to the time of citation observation")
  Member "research productivity are higher academic ranks more productive than lower ones":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "the dangers of performance based research funding in non competitive higher education systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the impact of unproductive and top researchers on overall university research performance")

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)