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: "mapping excellence in the geography of science an approach based on scopus data"
  Abstract: As research becomes an ever more globalized activity, there is growing interest in national and international comparisons of standards and quality in different countries and regions. A sign for this trend is the increasing interest in rankings of universities according to their research performance, both inside but also outside the scientific environment. New methods presented in this paper, enable us to map centers of excellence around the world using programs that are freely available. Based on Scopus data, field-specific excellence can be identified and agglomerated in regions and cities where recently highly-cited papers were published. Differences in performance rates can be visualized on the map using colors and sizes of the marks.

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"
    - "a new bibliometric approach to assess the scientific specialization of regions"
    - "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations"
    - "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 "where are we using scopus to map the literature at the intersection between artificial intelligence and crime"):
  with members:
    - "arming the public with artificial intelligence to counter social bots"
    - "deep learning for real time crime forecasting and its ternarization"
    - "transfer learning from deep features for remote sensing and poverty mapping"
    - "prediction of emerging technologies based on analysis of the us patent citation network"

Connected through hyperedge HE-3 (induced by source paper "factors influencing cities publishing efficiency"):
  with members:
    - "the relationship among research productivity research collaboration and their determinants"
    - "the sum of it all revealing collaboration patterns by combining authorship and acknowledgements"
    - "a spatial scientometric analysis of the publication output of cities worldwide"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "evaluating university research same performance indicator different rankings"
    - "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations"
    - "international scientific collaboration of china collaborating countries institutions and individuals"
    - "the detection of hot regions in the geography of science a visualization approach by using density maps"

Connected through hyperedge HE-4 (induced by source paper "a spatial scientometric analysis of the publication output of cities worldwide"):
  with members:
    - "mapping spatial and temporal changes of global corporate research and development activities by conducting a bibliometric analysis"
    - "exploring the position of cities in global corporate research and development a bibliometric analysis by two different geographical approaches"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "how have the eastern european countries of the former warsaw pact developed since 1990 a bibliometric study"
    - "globalisation of science in kilometres"
    - "the detection of hot regions in the geography of science a visualization approach by using density maps"
    - "mapping the geography of science distribution patterns and networks of relations among cities and institutes"

Connected through hyperedge HE-5 (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"
    - "a new bibliometric approach to assess the scientific specialization of regions"
    - "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"

Connected through hyperedge HE-6 (induced by source paper "a new approach to measure the scientific strengths of territories"):
  with members:
    - "the knowledge based economy and the triple helix model"
    - "revisiting the scaling of citations for research assessment"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"
    - "the detection of hot regions in the geography of science a visualization approach by using density maps"

Connected through hyperedge HE-7 (induced by source paper "what is the effect of country specific characteristics on the research performance of scientific institutions using multi level statistical models to rank and map universities and research focused institutions worldwide"):
  with members:
    - "national peer review research assessment exercises for the hard sciences can be a complete waste of money the italian case"
    - "which percentile based approach should be preferred for calculating normalized citation impact values an empirical comparison of five approaches including a newly developed citation rank approach p100"
    - "on the calculation of percentile based bibliometric indicators"
    - "how to improve the prediction based on citation impact percentiles for years shortly after the publication date"
    - "the use of percentiles and percentile rank classes in the analysis of bibliometric data opportunities and limits"
    - "a further step forward in measuring journals scientific prestige the sjr2 indicator"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "the detection of hot regions in the geography of science a visualization approach by using density maps"

Connected through hyperedge HE-8 (induced by source paper "assessing national strengths and weaknesses in research fields"):
  with members:
    - "measuring science irresistible temptations easy shortcuts and dangerous consequences"
    - "what is the effect of country specific characteristics on the research performance of scientific institutions using multi level statistical models to rank and map universities and research focused institutions worldwide"
    - "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)