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: "an empirical analysis of the use of alphabetical authorship in scientific publishing"
  Abstract: There are different ways in which the authors of a scientific publication can determine the order in which their names are listed. Sometimes author names are simply listed alphabetically. In other cases, authorship order is determined based on the contribution authors have made to a publication. Contribution-based authorship can facilitate proper credit assignment, for instance by giving most credits to the first author. In the case of alphabetical authorship, nothing can be inferred about the relative contribution made by the different authors of a publication. In this paper, we present an empirical analysis of the use of alphabetical authorship in scientific publishing. Our analysis covers all fields of science. We find that the use of alphabetical authorship is declining over time. In 2011, the authors of less than 4% of all publications intentionally chose to list their names alphabetically. The use of alphabetical authorship is most common in mathematics, economics (including finance), and high energy physics. Also, the use of alphabetical authorship is relatively more common in the case of publications with either a small or a large number of authors.

Connected through hyperedge HE-1 (induced by source paper "female citation impact superiority 1996 2018 in six out of seven english speaking nations"):
  with members:
    - "do females create higher impact research scopus citations and mendeley readers for articles from five countries"
    - "gender and research publishing in india uniformly high inequality"
    - "the accuracy of confidence intervals for field normalised indicators"
    - "characterizing in text citations in scientific articles a large scale analysis"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "towards a new crown indicator some theoretical considerations"
    - "towards a new crown indicator an empirical analysis"

Connected through hyperedge HE-2 (induced by source paper "large publishing consortia produce higher citation impact research but co author contributions are hard to evaluate"):
  with members:
    - "granularity of algorithmically constructed publication level classifications of research publications identification of topics"
    - "the accuracy of confidence intervals for field normalised indicators"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "is collaboration among scientists related to the citation impact of papers because their quality increases with collaboration an analysis based on data from f1000prime and normalized citation scores"
    - "a unified approach to mapping and clustering of bibliometric networks"

Connected through hyperedge HE-3 (induced by source paper "the value and credits of n authors publications"):
  with members:
    - "a review of the literature on citation impact indicators"
    - "methods for the generation of normalized citation impact scores in bibliometrics which method best reflects the judgements of experts"
    - "measuring impact in research evaluations a thorough discussion of methods for effects of and problems with impact measurements"
    - "the importance of accounting for the number of co authors and their order when assessing research performance at the individual level in the life sciences"

Connected through hyperedge HE-4 (induced by source paper "gender and research publishing in india uniformly high inequality"):
  with members:
    - "the specific shapes of gender imbalance in scientific authorships a network approach"
    - "field normalized citation impact indicators and the choice of an appropriate counting method"

Connected through hyperedge HE-5 (induced by source paper "does your surname affect the citability of your publications"):
  with members:
    - "a comparison of university performance scores and ranks by mncs and fss"
    - "how important is choice of the scaling factor in standardizing citations"
    - "revisiting the scaling of citations for research assessment"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"
    - "towards a new crown indicator some theoretical considerations"

Connected through hyperedge HE-6 (induced by source paper "a review of the literature on citation impact indicators"):
  with members:
    - "a sensitivity analysis of researchers productivity rankings to the time of citation observation"
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "measuring academic influence not all citations are equal"
    - "a review of theory and practice in scientometrics"
    - "comprehensive indicator comparisons intelligible to non experts the case of two snip versions"
    - "methods for estimating the size of google scholar"
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"

Connected through hyperedge HE-7 (induced by source paper "field normalized citation impact indicators and the choice of an appropriate counting method"):
  with members:
    - "a review of the literature on citation impact indicators"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"
    - "on the calculation of percentile based bibliometric indicators"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "scopus s source normalized impact per paper snip versus a journal impact factor based on fractional counting of citations"
    - "towards a new crown indicator some theoretical considerations"

Connected through hyperedge HE-8 (induced by source paper "coauthorship networks a directed network approach considering the order and number of coauthors"):
  with members:
    - "applying weighted pagerank to author citation networks"
    - "applying centrality measures to impact analysis a coauthorship network analysis"
    - "discovering author impact a pagerank perspective"
    - "on the relationship between the structural and socioacademic communities of a coauthorship network"
    - "co authorship networks in the digital library research community"

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)