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: "using almetrics for contextualised mapping of societal impact from hits to networks"
  Abstract: In this article, we develop a method that uses altmetric data to analyse researchers' interactions, as a way of mapping the contexts of potential societal impact. In the face of an increasing policy demand for quantitative methodologies to assess societal impact, social media data (altmetrics) has been presented as a potential method to capture broader forms of impact. However, current altmetric indicators were extrapolated from traditional citation approaches and are seen as problematic for assessing societal impact. In contrast, established qualitative methodologies for societal impact assessment are based on interaction approaches. These argue that assessment should focus on mapping the contexts in which engagement among researchers and stakeholders take place, as a means to understand the pathways to societal impact. Following these approaches, we propose to shift the use of altmetric data towards network analysis of researchers and stakeholders. We carry out two case studies, analysing researchers' networks with Twitter data. The comparison illustrates the potential of Twitter networks to capture disparate degrees of policy engagement. We propose that this mapping method can be used as an input within broader methodologies in case studies of societal impact assessment.

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"
    - "scholarly use of social media and altmetrics a review of the literature"
    - "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 "science through wikipedia a novel representation of open knowledge through co citation networks"):
  with members:
    - "mapping the backbone of the humanities through the eyes of wikipedia"
    - "the insoluble problems of books what does altmetric com have to offer"
    - "amplifying the impact of open access wikipedia and the diffusion of science"
    - "knowledge acquisition a complex networks approach"
    - "using network science and text analytics to produce surveys in a scientific topic"
    - "power laws in citation distributions evidence from scopus"
    - "mapping citation patterns of book chapters in the book citation index"
    - "global maps of science based on the new web of science categories"

Connected through hyperedge HE-3 (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"
    - "scholarly use of social media and altmetrics a review of the literature"
    - "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-4 (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-5 (induced by source paper "the insoluble problems of books what does altmetric com have to offer"):
  with members:
    - "reviewing indicating and counting books for modern research evaluation systems"
    - "filling the citation gap measuring the multidimensional impact of the academic book at institutional level with plumx"
    - "plumx as a potential tool to assess the macroscopic multidimensional impact of books"
    - "scholarly use of social media and altmetrics a review of the literature"
    - "analyzing the citation characteristics of books edited books book series and publisher types in the book citation index"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"
    - "new data new possibilities exploring the insides of altmetric com"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"

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)