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: "should the research performance of scientists be distinguished by gender"
  Abstract: The literature on gender differences in research performance seems to suggest a gap between men and women, where the former outperform the latter. Whether one agrees with the different factors proposed to explain the phenomenon, it is worthwhile to verify if comparing the performance within each gender, rather than without distinction, gives significantly different ranking lists. If there were some structural factor that determined a penalty in performance of female researchers compared to their male peers, then under conditions of equal capacities of men and women, any comparative evaluations of individual performance that fail to account for gender differences would lead to distortion of the judgments in favor of men. In this work we measure the extent of differences in rank between the two methods of comparing performance in each field of the hard sciences: for professors in the Italian university system, we compare the distributions of research performance for men and women and subsequently the ranking lists with and without distinction by gender. The results are of interest for the optimization of efficient selection in formulation of recruitment, career advancement and incentive schemes.

Connected through hyperedge HE-1 (induced by source paper "do females create higher impact research scopus citations and mendeley readers for articles from five countries"):
  with members:
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "geometric journal impact factors correcting for individual highly cited articles"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"
    - "assessing the varying level of impact measurement accuracy as a function of the citation window length"
    - "towards a new crown indicator some theoretical considerations"
    - "towards a new crown indicator an empirical analysis"

Connected through hyperedge HE-2 (induced by source paper "the north south divide in the italian higher education system"):
  with members:
    - "accounting for gender research performance differences in ranking universities"
    - "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"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "the specific shapes of gender imbalance in scientific authorships a network approach"):
  with members:
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"
    - "variation in research collaboration patterns across academic ranks"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "gender differences in research collaboration"

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)