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: "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.

Connected through hyperedge HE-1 (induced by source paper "authorship analysis of specialized vs diversified research output"):
  with members:
    - "the effects of gender age and academic rank on research diversification"
    - "the effect of multidisciplinary collaborations on research diversification"
    - "do interdisciplinary research teams deliver higher gains to science"
    - "specialization versus diversification in research activities the extent intensity and relatedness of field diversification by individual scientists"
    - "the relationship among research productivity research collaboration and their determinants"
    - "does your surname affect the citability of your publications"
    - "variation in research collaboration patterns across academic ranks"
    - "how do you define and measure research productivity"

Connected through hyperedge HE-2 (induced by source paper "when research assessment exercises leave room for opportunistic behavior by the subjects under evaluation"):
  with members:
    - "peer review versus bibliometrics which method better predicts the scholarly impact of publications"
    - "on tit for tat franceschini and maisano versus anvur regarding the italian research assessment exercise vqr 2011 2014"
    - "bibliometric evaluation of research performance where do we stand"
    - "do they agree bibliometric evaluation versus informed peer review in the italian research assessment exercise"
    - "refrain from adopting the combination of citation and journal metrics to grade publications as used in the italian national research assessment exercise vqr 2011 2014"
    - "the vqr italy s second national research assessment methodological failures and ranking distortions"
    - "the determinants of academic career advancement evidence from italy"
    - "inefficiency in selecting products for submission to national research assessment exercises"

Connected through hyperedge HE-3 (induced by source paper "the effect of multidisciplinary collaborations on research diversification"):
  with members:
    - "the effects of gender age and academic rank on research diversification"
    - "do interdisciplinary research teams deliver higher gains to science"
    - "does your surname affect the citability of your publications"
    - "how do you define and measure research productivity"
    - "the collaboration behaviors of scientists in italy a field level analysis"
    - "what is the appropriate length of the publication period over which to assess research performance"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"

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)