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: "eigenfactor does the principle of repeated improvement result in better journal impact estimates than raw citation counts"
  Abstract: Eigenfactor.org, a journal evaluation tool which uses an iterative algorithm to weight citations (similar to the PageRank algorithm used for Google) has been proposed as a more valid method for calculating the impact of journals. The purpose of this brief communication is to investigate whether the principle of repeated improvement provides different rankings of journals than does a simple unweighted citation count (the method used by ISI).

Connected through hyperedge HE-1 (induced by source paper "a review of the literature on citation impact indicators"):
  with members:
    - "a sensitivity analysis of researchers productivity rankings to the time of citation observation"
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "the journal coverage of web of science and scopus a comparative analysis"
    - "measuring academic influence not all citations are equal"
    - "a review of theory and practice in scientometrics"
    - "comprehensive indicator comparisons intelligible to non experts the case of two snip versions"
    - "methods for estimating the size of google scholar"
    - "large scale analysis of the accuracy of the journal classification systems of web of science and scopus"

Connected through hyperedge HE-2 (induced by source paper "a review of theory and practice in scientometrics"):
  with members:
    - "identifying research fields within business and management a journal cross citation analysis"
    - "patents as instruments for exploring innovation dynamics geographic and technological perspectives on photovoltaic cells"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics"
    - "a systematic empirical comparison of different approaches for normalizing citation impact indicators"
    - "which percentile based approach should be preferred for calculating normalized citation impact values an empirical comparison of five approaches including a newly developed citation rank approach p100"
    - "the revised snip indicator of elsevier s scopus"
    - "interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal journal citations"

Connected through hyperedge HE-3 (induced by source paper "citex a new citation index to measure the relative importance of authors and papers in scientific publications"):
  with members:
    - "toward alternative metrics of journal impact a comparison of download and citation data"

Connected through hyperedge HE-4 (induced by source paper "finding and recommending scholarly articles"):
  with members:
    - "finding your literature match a recommender system"
    - "big macs and eigenfactor scores don t let correlation coefficients fool you"
    - "worldwide use and impact of the nasa astrophysics data system digital library"
    - "advice from the oracle really intelligent information retrieval"

Connected through hyperedge HE-5 (induced by source paper "fractional counting of citations in research evaluation a cross and interdisciplinary assessment of the tsinghua university in beijing"):
  with members:
    - "scopus s source normalized impact per paper snip versus a journal impact factor based on fractional counting of citations"
    - "towards a new crown indicator some theoretical considerations"
    - "weighted citation an indicator of an article s prestige"
    - "normalization at the field level fractional counting of citations"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"
    - "remaining problems with the new crown indicator mncs of the cwts"
    - "how to evaluate universities in terms of their relative citation impacts fractional counting of citations and the normalization of differences among disciplines"
    - "maps on the basis of the arts humanities citation index the journals leonardo and art journal versus digital humanities as a topic"

Connected through hyperedge HE-6 (induced by source paper "the relation between eigenfactor audience factor and influence weight"):
  with members:
    - "pagerank for ranking authors in co citation networks"
    - "measuring contextual citation impact of scientific journals"
    - "a principal component analysis of 39 scientific impact measures"
    - "big macs and eigenfactor scores don t let correlation coefficients fool you"
    - "the sjr indicator a new indicator of journals scientific prestige"

Connected through hyperedge HE-7 (induced by source paper "weighted citation an indicator of an article s prestige"):
  with members:
    - "popular and or prestigious measures of scholarly esteem"
    - "a principal component analysis of 39 scientific impact measures"
    - "big macs and eigenfactor scores don t let correlation coefficients fool you"

Connected through hyperedge HE-8 (induced by source paper "big macs and eigenfactor scores don t let correlation coefficients fool you"):
  with members:
    - "the relation between eigenfactor audience factor and influence weight"

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)