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: "scholarly use of social media and altmetrics a review of the literature"
  Abstract: Social media has become integrated into the fabric of the scholarly communication system in fundamental ways: principally through scholarly use of social media platforms and the promotion of new indicators on the basis of interactions with these platforms. Research and scholarship in this area has accelerated since the coining and subsequent advocacy for altmetrics -- that is, research indicators based on social media activity. This review provides an extensive account of the state-of-the art in both scholarly use of social media and altmetrics. The review consists of two main parts: the first examines the use of social media in academia, examining the various functions these platforms have in the scholarly communication process and the factors that affect this use. The second part reviews empirical studies of altmetrics, discussing the various interpretations of altmetrics, data collection and methodological limitations, and differences according to platform. The review ends with a critical discussion of the implications of this transformation in the scholarly communication system.

Connected through hyperedge HE-1 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications"):
  with members:
    - "scholarly twitter metrics"
    - "social media metrics for new research evaluation"
    - "mendeley readership as a filtering tool to identify highly cited publications"
    - "grand challenges in altmetrics heterogeneity data quality and dependencies"
    - "using almetrics for contextualised mapping of societal impact from hits to networks"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"
    - "tweets as impact indicators examining the implications of automated bot accounts on twitter"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"

Connected through hyperedge HE-2 (induced by source paper "measuring the diversity of facebook reactions to research"):
  with members:
    - "jointly learning to detect emotions and predict facebook reactions"
    - "shared feelings understanding facebook reactions to scholarly articles"
    - "community interaction and conflict on the web"
    - "could scientists use altmetric com scores to predict longer term citation counts"
    - "social emotion mining techniques for facebook posts reaction prediction"
    - "anatomy of scholarly information behavior patterns in the wake of academic social media platforms"
    - "140 characters to victory using twitter to predict the uk 2015 general election"
    - "anger is more influential than joy sentiment correlation in weibo"

Connected through hyperedge HE-3 (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"
    - "influence of study type on twitter activity for medical research papers"
    - "validity of altmetrics data for measuring societal impact a study using data from altmetric and f1000prime"

Connected through hyperedge HE-4 (induced by source paper "testing for universality of mendeley readership distributions"):
  with members:
    - "predicting publication long term impact through a combination of early citations and journal impact factor"
    - "revisiting the scientometric conceptualization of impact and its measurement"
    - "an investigation on the skewness patterns and fractal nature of research productivity distributions at field and discipline level"
    - "skewness of citation impact data and covariates of citation distributions a large scale empirical analysis based on web of science data"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "revisiting the scaling of citations for research assessment"
    - "altmetrics in the wild using social media to explore scholarly impact"

Connected through hyperedge HE-5 (induced by source paper "does the public discuss other topics on climate change than researchers a comparison of explorative networks based on author keywords and hashtags"):
  with members:
    - "do altmetrics correlate with the quality of papers a large scale empirical study based on f1000prime data"
    - "scholarly twitter metrics"
    - "social media metrics for new research evaluation"
    - "automated analysis of topic actor networks on twitter new approach to the analysis of socio semantic networks"
    - "normalization of zero inflated data an empirical analysis of a new indicator family and its use with altmetrics data"
    - "climate change research in view of bibliometrics"
    - "national research impact indicators from mendeley readers"
    - "tweets vs mendeley readers how do these two social media metrics differ"

Connected through hyperedge HE-6 (induced by source paper "mapping social media attention in microbiology identifying main topics and actors"):
  with members:
    - "social media metrics for new research evaluation"
    - "improving fitness mapping research priorities against societal needs on obesity"
    - "using almetrics for contextualised mapping of societal impact from hits to networks"
    - "tweets as impact indicators examining the implications of automated bot accounts on twitter"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"
    - "scientometric mapping as a strategic intelligence tool for the governance of emerging technologies"
    - "new data new possibilities exploring the insides of altmetric com"
    - "science overlay maps a new tool for research policy and library management"

Connected through hyperedge HE-7 (induced by source paper "how much research output from india gets social media attention"):
  with members:
    - "which us and european higher education institutions are visible in researchgate and what affects their rg score"
    - "could scientists use altmetric com scores to predict longer term citation counts"
    - "the poor altmetric performance of publications authored by researchers in mainland china"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"
    - "tweeting biomedicine an analysis of tweets and citations in the biomedical literature"

Connected through hyperedge HE-8 (induced by source paper "disciplinary variations in altmetric coverage of scholarly articles"):
  with members:
    - "could scientists use altmetric com scores to predict longer term citation counts"
    - "the poor altmetric performance of publications authored by researchers in mainland china"
    - "do altmetrics correlate with citations extensive comparison of altmetric indicators with citations from a multidisciplinary perspective"
    - "tweeting biomedicine an analysis of tweets and citations in the biomedical literature"

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)