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: "popular and or prestigious measures of scholarly esteem"
  Abstract: Citation analysis does not generally take the quality of citations into account: all citations are weighted equally irrespective of source. However, a scholar may be highly cited but not highly regarded: popularity and prestige are not identical measures of esteem. In this study we define popularity as the number of times an author is cited and prestige as the number of times an author is cited by highly cited papers. Information Retrieval (IR) is the test field. We compare the 40 leading researchers in terms of their popularity and prestige over time. Some authors are ranked high on prestige but not on popularity, while others are ranked high on popularity but not on prestige. We also relate measures of popularity and prestige to date of Ph.D. award, number of key publications, organizational affiliation, receipt of prizes/honors, and gender.

Connected through hyperedge HE-1 (induced by source paper "direct citations between citing publications"):
  with members:
    - "a multidimensional perspective on the citation impact of scientific publications"
    - "can microsoft academic assess the early citation impact of in press articles a multi discipline exploratory analysis"
    - "a century of science globalization of scientific collaborations citations and innovations"
    - "field normalized citation impact indicators and the choice of an appropriate counting method"
    - "a review of the literature on citation impact indicators"
    - "weighted citation an indicator of an article s prestige"

Connected through hyperedge HE-2 (induced by source paper "emerging topics in internet technology a complex networks approach"):
  with members:
    - "agent based computing from multi agent systems to agent based models a visual survey"
    - "the structure and dynamics of co citation clusters a multiple perspective co citation analysis"

Connected through hyperedge HE-3 (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"
    - "applying weighted pagerank to author citation networks"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "measuring academic influence not all citations are equal"):
  with members:
    - "applying weighted pagerank to author citation networks"
    - "the inconsistency of the h index"
    - "weighted citation an indicator of an article s prestige"
    - "from frequency to meaning vector space models of semantics"
    - "a principal component analysis of 39 scientific impact measures"
    - "scientific paper summarization using citation summary networks"
    - "measuring praise and criticism inference of semantic orientation from association"
    - "the management of context sensitive features a review of strategies"

Connected through hyperedge HE-5 (induced by source paper "applying weighted pagerank to author citation networks"):
  with members:
    - "co authorship networks in the digital library research community"

Connected through hyperedge HE-6 (induced by source paper "weighted citation an indicator of an article s prestige"):
  with members:
    - "a principal component analysis of 39 scientific impact measures"
    - "big macs and eigenfactor scores don t let correlation coefficients fool you"
    - "eigenfactor does the principle of repeated improvement result in better journal impact estimates than raw citation counts"

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)