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: "constructing bibliometric networks a comparison between full and fractional counting"
  Abstract: The analysis of bibliometric networks, such as co-authorship, bibliographic coupling, and co-citation networks, has received a considerable amount of attention. Much less attention has been paid to the construction of these networks. We point out that different approaches can be taken to construct a bibliometric network. Normally the full counting approach is used, but we propose an alternative fractional counting approach. The basic idea of the fractional counting approach is that each action, such as co-authoring or citing a publication, should have equal weight, regardless of for instance the number of authors, citations, or references of a publication. We present two empirical analyses in which the full and fractional counting approaches yield very different results. These analyses deal with co-authorship networks of universities and bibliographic coupling networks of journals. Based on theoretical considerations and on the empirical analyses, we conclude that for many purposes the fractional counting approach is preferable over the full counting one.

Connected through hyperedge HE-1 (induced by source paper "who pays comparing cost sharing models for a gold open access publication environment"):
  with members:
    - "the state of open access in germany an analysis of the publication output of german universities"
    - "evidence of open access of scientific publications in google scholar a large scale analysis"
    - "green and gold open access percentages and growth by discipline"

Connected through hyperedge HE-2 (induced by source paper "analysis of researchgate a community detection approach"):
  with members:
    - "convexity in scientific collaboration networks"
    - "which us and european higher education institutions are visible in researchgate and what affects their rg score"

Connected through hyperedge HE-3 (induced by source paper "convexity in scientific collaboration networks"):
  with members:
    - "convex skeletons of complex networks"
    - "convexity in complex networks"
    - "distortive effects of initial based name disambiguation on measurements of large scale coauthorship networks"
    - "full and fractional counting in bibliometric networks"
    - "betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks"
    - "applying centrality measures to impact analysis a coauthorship network analysis"
    - "co authorship networks in the digital library research community"

Connected through hyperedge HE-4 (induced by source paper "a principled methodology for comparing relatedness measures for clustering publications"):
  with members:
    - "from louvain to leiden guaranteeing well connected communities"
    - "granularity of algorithmically constructed publication level classifications of research publications identification of topics"
    - "algorithmically generated subject categories based on citation relations an empirical micro study using papers on overall water splitting"
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "clustering scientific publications based on citation relations a systematic comparison of different methods"
    - "citnetexplorer a new software tool for analyzing and visualizing citation networks"
    - "a new methodology for constructing a publication level classification system of science"

Connected through hyperedge HE-5 (induced by source paper "computational methods in professional communication"):
  with members:
    - "what is gab a bastion of free speech or an alt right echo chamber"
    - "a nutritional label for rankings"
    - "intertemporal connections between query suggestions and search engine results for politics related queries"
    - "biased assimilation homophily and the dynamics of polarization"
    - "four degrees of separation"
    - "indicators of the interdisciplinarity of journals diversity centrality and citations"

Connected through hyperedge HE-6 (induced by source paper "on fractional approach to analysis of linked networks"):
  with members:
    - "a categorization of arguments for counting methods for publication and citation indicators"
    - "a conservation rule for constructing bibliometric network matrices"
    - "full and fractional counting in bibliometric networks"
    - "network analysis of zentralblatt math data"
    - "on bibliographic networks"

Connected through hyperedge HE-7 (induced by source paper "measuring national capability over big science s multidisciplinarity a case study of nuclear fusion research"):
  with members:
    - "the normalization of co authorship networks in the bibliometric evaluation the government stimulation programs of china and korea"
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"

Connected through hyperedge HE-8 (induced by source paper "biblioranking fundamental physics"):
  with members:
    - "growing complex network of citations of scientific papers modeling and measurements"
    - "usage bibliometrics as a tool to measure research activity"
    - "full and fractional counting in bibliometric networks"
    - "regression for citation data an evaluation of different methods"
    - "quantifying long term scientific impact"
    - "pagerank for ranking authors in co citation networks"
    - "normalization at the field level fractional counting of citations"
    - "how to evaluate universities in terms of their relative citation impacts fractional counting of citations and the normalization of differences among disciplines"

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)