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: "a new bibliometric approach to assess the scientific specialization of regions"
  Abstract: The objective of the current work is to identify the territorial scientific specializations present in Italy, at the levels of regions and provinces (NUTS2 and NUTS3). To do this, we take a bibliometric approach based on the scientific production of the entire public research system in the hard sciences sphere, for the 5 years 2006–10. In particular, we apply a new index of scientific specialization (Scientific Specialization Index, SSI) that takes account of both the quantity and quality of scientific production achieved by the research institutions of a given territory.

Connected through hyperedge HE-1 (induced by source paper "on the challenges ahead of spatial scientometrics focusing on the city level"):
  with members:
    - "the geography of references in elite articles which countries contribute to the archives of knowledge"
    - "a spatial scientometric analysis of the publication output of cities worldwide"
    - "exploring the position of cities in global corporate research and development a bibliometric analysis by two different geographical approaches"
    - "concentration of research funding leads to decreasing marginal returns"
    - "a methodology to compute the territorial productivity of scientists the case of italy"
    - "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations"
    - "mapping excellence in the geography of science an approach based on scopus data"
    - "the detection of hot regions in the geography of science a visualization approach by using density maps"

Connected through hyperedge HE-2 (induced by source paper "who benefits from a country s scientific research"):
  with members:
    - "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"
    - "assessing the varying level of impact measurement accuracy as a function of the citation window length"

Connected through hyperedge HE-3 (induced by source paper "a methodology to compute the territorial productivity of scientists the case of italy"):
  with members:
    - "mapping excellence in national research systems the case of italy"
    - "measuring science irresistible temptations easy shortcuts and dangerous consequences"
    - "a new approach to measure the scientific strengths of territories"
    - "how do you define and measure research productivity"
    - "individual research performance a proposal for comparing apples to oranges"
    - "revisiting size effects in higher education research productivity"
    - "revisiting the scaling of citations for research assessment"
    - "mapping excellence in the geography of science an approach based on scopus data"

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)