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: "applying weighted pagerank to author citation networks"
  Abstract: This paper aims to identify whether different weighted PageRank algorithms can be applied to author citation networks to measure the popularity and prestige of a scholar from a citation perspective. Information Retrieval (IR) was selected as a test field and data from 1956-2008 were collected from Web of Science (WOS). Weighted PageRank with citation and publication as weighted vectors were calculated on author citation networks. The results indicate that both popularity rank and prestige rank were highly correlated with the weighted PageRank. Principal Component Analysis (PCA) was conducted to detect relationships among these different measures. For capturing prize winners within the IR field, prestige rank outperformed all the other measures.

Connected through hyperedge HE-1 (induced by source paper "assigning credit to scientific datasets using article citation networks"):
  with members:
    - "theory and practice of data citation"
    - "datacite as a novel bibliometric source coverage strengths and limitations"
    - "identifying and improving dataset references in social sciences full texts"
    - "analyzing data citation practices using the data citation index"
    - "pagerank for ranking authors in co citation networks"

Connected through hyperedge HE-2 (induced by source paper "ranking users in social networks with motif based pagerank"):
  with members:
    - "motifs in temporal networks"
    - "detecting strong ties using network motifs"
    - "waddling random walk fast and accurate mining of motif statistics in large graphs"
    - "escape efficiently counting all 5 vertex subgraphs"
    - "higher order organization of complex networks"
    - "path sampling a fast and provable method for estimating 4 vertex subgraph counts"
    - "pagerank beyond the web"
    - "subgraph frequencies mapping the empirical and extremal geography of large graph collections"

Connected through hyperedge HE-3 (induced by source paper "do all citations value the same valuing citations by the value of the citing items"):
  with members:
    - "revisiting the scientometric conceptualization of impact and its measurement"
    - "a farewell to the mncs and like size independent indicators"
    - "refrain from adopting the combination of citation and journal metrics to grade publications as used in the italian national research assessment exercise vqr 2011 2014"
    - "how do you define and measure research productivity"
    - "a further step forward in measuring journals scientific prestige the sjr2 indicator"
    - "revisiting the scaling of citations for research assessment"
    - "assessing the varying level of impact measurement accuracy as a function of the citation window length"
    - "towards a new crown indicator some theoretical considerations"

Connected through hyperedge HE-4 (induced by source paper "investigating negative interactions in multiplex networks a mutual information approach"):
  with members:
    - "leveraging network dynamics for improved link prediction"
    - "signed link analysis in social media networks"
    - "a multilayer approach to multiplexity and link prediction in online geo social networks"
    - "link prediction in social networks the state of the art"
    - "link prediction in complex networks a mutual information perspective"
    - "the slashdot zoo mining a social network with negative edges"

Connected through hyperedge HE-5 (induced by source paper "c 3 index a pagerank based multi faceted metric for authors performance measurement"):
  with members:
    - "on the discovery of success trajectories of authors"
    - "do pagerank based author rankings outperform simple citation counts"
    - "are researchers that collaborate more at the international level top performers an investigation on the italian university system"
    - "the inconsistency of the h index"
    - "pagerank for ranking authors in co citation networks"
    - "applying centrality measures to impact analysis a coauthorship network analysis"
    - "popular and or prestigious measures of scholarly esteem"

Connected through hyperedge HE-6 (induced by source paper "a holistic approach for predicting links in coevolving multilayer networks"):
  with members:
    - "leveraging network dynamics for improved link prediction"
    - "a multilayer approach to multiplexity and link prediction in online geo social networks"
    - "rankmerging a supervised learning to rank framework to predict links in large social network"

Connected through hyperedge HE-7 (induced by source paper "all fingers are not equal intensity of references in scientific articles"):
  with members:
    - "the inconsistency of the h index"
    - "weighted citation an indicator of an article s prestige"
    - "from frequency to meaning vector space models of semantics"

Connected through hyperedge HE-8 (induced by source paper "scientific data science and the case for open access"):
  with members:
    - "measuring academic influence not all citations are equal"

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)