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: "specialization versus diversification in research activities the extent intensity and relatedness of field diversification by individual scientists"
  Abstract: We investigate whether and in what measure scientists tend to diversify their research activity, and if this tendency varies according to their belonging to different disciplinary areas. We analyze the nature of research diversification along three dimensions: extent of diversification, intensity of diversification, and degree of relatedness of topics in which researchers diversifies. For this purpose we propose three bibliometric indicators, based on the disciplinary placement of scientific output of individual scientists. The empirical investigation shows that the extent of diversification is lowest for scientists in Mathematics and highest in Chemistry; intensity of diversification is lowest in Earth sciences and highest in Industrial and information engineering; and degree of relatedness is lowest in Earth sciences and highest in Chemistry.

Connected through hyperedge HE-1 (induced by source paper "authorship analysis of specialized vs diversified research output"):
  with members:
    - "diversification versus specialization in scientific research which strategy pays off"
    - "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"
    - "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 "diversification versus specialization in scientific research which strategy pays off"):
  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"
    - "what is the appropriate length of the publication period over which to assess research performance"
    - "revisiting the scaling of citations for research assessment"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"
    - "assessing the varying level of impact measurement accuracy as a function of the citation window length"
    - "allocative efficiency in public research funding can bibliometrics help"

Connected through hyperedge HE-3 (induced by source paper "the effects of gender age and academic rank on research diversification"):
  with members:
    - "the combined effects of age and seniority on research performance of full professors"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"
    - "research productivity are higher academic ranks more productive than lower ones"
    - "gender differences in research productivity a bibliometric analysis of the italian academic system"

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)