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: "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"
  Abstract: Can altmetric data be validly used for the measurement of societal impact? The current study seeks to answer this question with a comprehensive dataset (about 100,000 records) from very disparate sources (F1000, Altmetric, and an in-house database based on Web of Science). In the F1000 peer review system, experts attach particular tags to scientific papers which indicate whether a paper could be of interest for science or rather for other segments of society. The results show that papers with the tag "good for teaching" do achieve higher altmetric counts than papers without this tag - if the quality of the papers is controlled. At the same time, a higher citation count is shown especially by papers with a tag that is specifically scientifically oriented ("new finding"). The findings indicate that papers tailored for a readership outside the area of research should lead to societal impact. If altmetric data is to be used for the measurement of societal impact, the question arises of its normalization. In bibliometrics, citations are normalized for the papers' subject area and publication year. This study has taken a second analytic step involving a possible normalization of altmetric data. As the results show there are particular scientific topics which are of especial interest for a wide audience. Since these more or less interesting topics are not completely reflected in Thomson Reuters' journal sets, a normalization of altmetric data should not be based on the level of subject categories, but on the level of topics.

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 "social media metrics for new research evaluation"):
  with members:
    - "on the relationships between bibliographic characteristics of scientific documents and citation and mendeley readership counts a large scale analysis of web of science publications"
    - "towards the social media studies of science social media metrics present and future"
    - "mendeley readership as a filtering tool to identify highly cited publications"
    - "scholars on twitter who and how many are they"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "a systematic identification and analysis of scientists on twitter"
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "t factor a metric for measuring impact on twitter"

Connected through hyperedge HE-3 (induced by source paper "scholarly twitter metrics"):
  with members:
    - "a systematic identification and analysis of scientists on twitter"
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "botornot a system to evaluate social bots"
    - "scholarly use of social media and altmetrics a review of the literature"
    - "the rise of social bots"
    - "when is an article actually published an analysis of online availability publication and indexation dates"
    - "differences in personal and professional tweets of scholars"
    - "influence of study type on twitter activity for medical research papers"

Connected through hyperedge HE-4 (induced by source paper "do altmetrics correlate with the quality of papers a large scale empirical study based on f1000prime data"):
  with members:
    - "allegation of scientific misconduct increases twitter attention"
    - "normalization of zero inflated data an empirical analysis of a new indicator family and its use with altmetrics data"
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "scholarly use of social media and altmetrics a review of the literature"
    - "social media in scholarly communication"
    - "regression for citation data an evaluation of different methods"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"
    - "alternative metrics in scientometrics a meta analysis of research into three altmetrics"

Connected through hyperedge HE-5 (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"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "investigation of partition cells as a structural basis suitable for assessments of individual scientists"
    - "partition based field normalization an approach to highly specialized publication records"

Connected through hyperedge HE-6 (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"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "investigation of partition cells as a structural basis suitable for assessments of individual scientists"
    - "alternative metrics in scientometrics a meta analysis of research into three altmetrics"

Connected through hyperedge HE-7 (induced by source paper "measuring field normalized impact of papers on specific societal groups an altmetrics study based on mendeley data"):
  with members:
    - "policy documents as sources for measuring societal impact how often is climate change research mentioned in policy related documents"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "alternative metrics in scientometrics a meta analysis of research into three altmetrics"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"
    - "genesis of altmetrics or article level metrics for measuring efficacy of scholarly communications current perspectives"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "the role of twitter in the life cycle of a scientific publication"
    - "coverage and adoption of altmetrics sources in the bibliometric community"

Connected through hyperedge HE-8 (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"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "investigation of partition cells as a structural basis suitable for assessments of individual scientists"
    - "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"

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)