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: "discovering author impact a pagerank perspective"
  Abstract: This article provides an alternative perspective for measuring author impact by applying PageRank algorithm to a coauthorship network. A weighted PageRank algorithm considering citation and coauthorship network topology is proposed. We test this algorithm under different damping factors by evaluating author impact in the informetrics research community. In addition, we also compare this weighted PageRank with the h-index, citation, and program committee (PC) membership of the International Society for Scientometrics and Informetrics (ISSI) conferences. Findings show that this weighted PageRank algorithm provides reliable results in measuring author impact.

Connected through hyperedge HE-1 (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"
    - "applying weighted pagerank to author citation networks"
    - "assessing the varying level of impact measurement accuracy as a function of the citation window length"

Connected through hyperedge HE-2 (induced by source paper "endorsement deduction and ranking in social networks"):
  with members:
    - "fast distributed pagerank computation"
    - "synthetic generation of social network data with endorsements"
    - "blogrank ranking weblogs based on connectivity and similarity features"

Connected through hyperedge HE-3 (induced by source paper "coauthorship networks a directed network approach considering the order and number of coauthors"):
  with members:
    - "an empirical analysis of the use of alphabetical authorship in scientific publishing"
    - "applying weighted pagerank to author citation networks"
    - "applying centrality measures to impact analysis a coauthorship network analysis"
    - "on the relationship between the structural and socioacademic communities of a coauthorship network"
    - "co authorship networks in the digital library research community"

Connected through hyperedge HE-4 (induced by source paper "do pagerank based author rankings outperform simple citation counts"):
  with members:
    - "applying weighted pagerank to author citation networks"
    - "pagerank for ranking authors in co citation networks"
    - "weighted citation an indicator of an article s prestige"
    - "co authorship networks in the digital library research community"

Connected through hyperedge HE-5 (induced by source paper "a review of the characteristics of 108 author level bibliometric indicators"):
  with members:
    - "the google scholar experiment how to index false papers and manipulate bibliometric indicators"
    - "caveats for using statistical significance tests in research assessments"
    - "on the calculation of percentile based bibliometric indicators"
    - "some modifications to the snip journal impact indicator"
    - "the inconsistency of the h index"
    - "measuring contextual citation impact of scientific journals"
    - "assessing scientific research performance and impact with single indices"
    - "on the robustness of the h index"

Connected through hyperedge HE-6 (induced by source paper "network based information filtering algorithms ranking and recommendation"):
  with members:
    - "pagerank for ranking authors in co citation networks"
    - "pagerank standing on the shoulders of giants"
    - "solving the apparent diversity accuracy dilemma of recommender systems"

Connected through hyperedge HE-7 (induced by source paper "publication induced research analysis pira experiments on real data"):
  with members:
    - "pagerank for ranking authors in co citation networks"
    - "co authorship networks in the digital library research community"

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)