human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (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"):
  Abstract: Abstract   Altmetrics have been proposed as a way to assess the societal impact of research. Although altmetrics are already in use as impact or attention metrics in different contexts, it is still not clear whether they really capture or reflect societal impact. This study is based on altmetrics, citation counts, research output and case study data from the UK Research Excellence Framework (REF), and peers’ REF assessments of research output and societal impact. We investigated the convergent validity of altmetrics by using two REF datasets: publications submitted as research output (PRO) to the REF and publications referenced in case studies (PCS). Case studies, which are intended to demonstrate societal impact, should cite the most relevant research papers. We used the MHq’ indicator for assessing impact – an indicator which has been introduced for count data with many zeros. The results of the first part of the analysis show that news media as well as mentions on Facebook, in blogs, in Wikipedia, and in policy-related documents have higher MHq’ values for PCS than for PRO. Thus, the altmetric indicators seem to have convergent validity for these data. In the second part of the analysis, altmetrics have been correlated with REF reviewers’ average scores on PCS. The negative or close to zero correlations question the convergent validity of altmetrics in that context. We suggest that they may capture a different aspect of societal impact (which can be called unknown attention) to that seen by reviewers (who are interested in the causal link between research and action in society).

Includes members:
  Member "field and time normalization of data with many zeros an empirical analysis using citation and twitter data":
    also connected through other hyperedges:
      (none)
  Member "normalization of zero inflated data an empirical analysis of a new indicator family and its use with altmetrics data":
    also connected through other hyperedges:
      - Hyperedge HE-1 (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")
  Member "measuring field normalized impact of papers on specific societal groups an altmetrics study based on mendeley data":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "field and time normalization of data with many zeros an empirical analysis using citation and twitter data")
  Member "how many scientific papers are mentioned in policy related documents an empirical investigation using web of science and altmetric data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "normalization of zero inflated data an empirical analysis of a new indicator family and its use with altmetrics data")
  Member "grand challenges in altmetrics heterogeneity data quality and dependencies":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")
  Member "policy documents as sources for measuring societal impact how often is climate change research mentioned in policy related documents":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "normalization of zero inflated data an empirical analysis of a new indicator family and its use with altmetrics data")
  Member "scholarly use of social media and altmetrics a review of the literature":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")
  Member "influence of study type on twitter activity for medical research papers":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "scholarly twitter metrics")

Question: Please tell me which class the source paper 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)