human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "accounting for gender research performance differences in ranking universities"
  Abstract: The literature on the theme of gender differences in research performance indicates a quite evident gap in favor of men over women. Beyond the understanding of the factors that could be at the basis of this phenomenon, it is worthwhile understanding if it would be appropriate to conduct the evaluation per population in a manner distinguished by gender. In fact if there is some factor that structurally determines a penalization of performance by women researchers compared to men then the comparative evaluation of organizations' performance that does not take gender into account will lead to an advantage for those that employ more men, under parity in the capacities of their staffs. In this work we measure the differences of the performance and the rank of research institutions as observed when gender is taken into account compared to when it is ignored. The study population consists of all Italian universities and the performance measured in the hard sciences for the period 2006-2010.

Connected through hyperedge HE-1 (induced by source paper "the north south divide in the italian higher education system"):
  with members:
    - "do they agree bibliometric evaluation versus informed peer review in the italian research assessment exercise"
    - "a farewell to the mncs and like size independent indicators"
    - "a methodology to measure the effectiveness of academic recruitment and turnover"
    - "the vqr italy s second national research assessment methodological failures and ranking distortions"
    - "should the research performance of scientists be distinguished by gender"
    - "the determinants of academic career advancement evidence from italy"
    - "relatives in the same university faculty nepotism or merit"
    - "how do you define and measure research productivity"

Question: Please tell me which class the center node 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)