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: "investigation of partition cells as a structural basis suitable for assessments of individual scientists"
  Abstract: Individual, excellent scientists have become increasingly important in the research funding landscape. Accurate bibliometric measures of an individual's performance could help identify excellent scientists, but still present a challenge. One crucial aspect in this respect is an adequate delineation of the sets of publications that determine the reference values to which a scientist's publication record and its citation impact should be compared. The structure of partition cells formed by intersecting fixed subject categories in a database has been proposed to approximate a scientist's specialty more closely than can be done with the broader subject categories. This paper investigates this cell structure's suitability as an underlying basis for methodologies to assess individual scientists, from two perspectives: (1) Proximity to the actual structure of publication records of individual scientists: The distribution and concentration of publications over the highly fragmented structure of partition cells are examined for a sample of ERC grantees; (2) Proximity to customary levels of accuracy: Differences in commonly used reference values (mean expected number of citations per publication, and threshold number of citations for highly cited publications) between adjacent partition cells are compared to differences in two other dimensions: successive publication years and successive citation window lengths. Findings from both perspectives are in support of partition cells rather than the larger subject categories as a journal based structure on which to construct and apply methodologies for the assessment of highly specialized publication records such as those of individual scientists.

Connected through hyperedge HE-1 (induced by source paper "do altmetrics assess societal impact in a comparable way to case studies an empirical test of the convergent validity of altmetrics based on data from the uk research excellence framework ref"):
  with members:
    - "field and time normalization of data with many zeros an empirical analysis using citation and twitter data"
    - "normalization of zero inflated data an empirical analysis of a new indicator family and its use with altmetrics data"
    - "measuring field normalized impact of papers on specific societal groups an altmetrics study based on mendeley data"
    - "how many scientific papers are mentioned in policy related documents an empirical investigation using web of science and altmetric data"
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "policy documents as sources for measuring societal impact how often is climate change research mentioned in policy related documents"
    - "scholarly use of social media and altmetrics a review of the literature"
    - "influence of study type on twitter activity for medical research papers"

Connected through hyperedge HE-2 (induced by source paper "field and time normalization of data with many zeros an empirical analysis using citation and twitter data"):
  with members:
    - "normalization of zero inflated data an empirical analysis of a new indicator family"
    - "measuring field normalized impact of papers on specific societal groups an altmetrics study based on mendeley data"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "national research impact indicators from mendeley readers"
    - "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "partition based field normalization an approach to highly specialized publication records"

Connected through hyperedge HE-3 (induced by source paper "bibliometric approximation of a scientific specialty by combining key sources title words authors and references"):
  with members:
    - "4d specialty approximation ability to distinguish between related specialties"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "detecting the historical roots of research fields by reference publication year spectroscopy rpys"
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"
    - "partition based field normalization an approach to highly specialized publication records"
    - "a new methodology for constructing a publication level classification system of science"
    - "the structure and dynamics of co citation clusters a multiple perspective co citation analysis"

Connected through hyperedge HE-4 (induced by source paper "normalization of zero inflated data an empirical analysis of a new indicator family and its use with altmetrics data"):
  with members:
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "how many scientific papers are mentioned in policy related documents an empirical investigation using web of science and altmetric data"
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "policy documents as sources for measuring societal impact how often is climate change research mentioned in policy related documents"
    - "national research impact indicators from mendeley readers"
    - "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "alternative metrics in scientometrics a meta analysis of research into three altmetrics"

Connected through hyperedge HE-5 (induced by source paper "normalization of zero inflated data an empirical analysis of a new indicator family"):
  with members:
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "national research impact indicators from mendeley readers"
    - "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "inter rater reliability and convergent validity of f1000prime peer review"
    - "partition based field normalization an approach to highly specialized publication records"
    - "towards a new crown indicator an empirical analysis"
    - "the first italian research assessment exercise a bibliometric perspective"

Connected through hyperedge HE-6 (induced by source paper "citation score normalized by cited references csncr the introduction of a new citation impact indicator"):
  with members:
    - "a review of theory and practice in scientometrics"
    - "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"
    - "growth in the number of references in engineering journal papers during the 1972 2013 period"
    - "on the causes of subject specific citation rates in web of science"
    - "universality of scholarly impact metrics"
    - "citation analysis may severely underestimate the impact of clinical research as compared to basic research"
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"

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)