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: "the bibliometric properties of article readership information"
  Abstract: Digital libraries such as the NASA Astrophysics Data System (Kurtz et al., 2005) permit the easy accumulation of a new type of bibliometric measure, the number of electronic accesses (“reads”) of individual articles. We explore various aspects of this new measure. We examine the obsolescence function as measured by actual reads and show that it can be well fit by the sum of four exponentials with very different time constants. We compare the obsolescence function as measured by readership with the obsolescence function as measured by citations. We find that the citation function is proportional to the sum of two of the components of the readership function. This proves that the normative theory of citation is true in the mean. We further examine in detail the similarities and differences among the citation rate, the readership rate, and the total citations for individual articles, and discuss some of the causes. Using the number of reads as a bibliometric measure for individuals, we introduce the read–cite diagram to provide a two-dimensional view of an individual's scientific productivity. We develop a simple model to account for an individual's reads and cites and use it to show that the position of a person in the read–cite diagram is a function of age, innate productivity, and work history. We show the age biases of both reads and cites and develop two new bibliometric measures which have substantially less age bias than citations: SumProd, a weighted sum of total citations and the readership rate, intended to show the total productivity of an individual; and Read10, the readership rate for articles published in the last 10 years, intended to show an individual's current productivity. We also discuss the effect of normalization (dividing by the number of authors on a paper) on these statistics. We apply SumProd and Read10 using new, nonparametric techniques to compare the quality of different astronomical research organizations.

Connected through hyperedge HE-1 (induced by source paper "readership data and research impact"):
  with members:
    - "microsoft academic a multidisciplinary comparison of citation counts with scopus and mendeley for 29 journals"
    - "do researchgate scores create ghost academic reputations"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "on full text download and citation distributions in scientific scholarly journals"
    - "do mendeley readership counts help to filter highly cited wos publications better than average citation impact of journals jcs"
    - "national research impact indicators from mendeley readers"
    - "tweets vs mendeley readers how do these two social media metrics differ"
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"

Connected through hyperedge HE-2 (induced by source paper "can microsoft academic assess the early citation impact of in press articles a multi discipline exploratory analysis"):
  with members:
    - "microsoft academic automatic document searches accuracy for journal articles and suitability for citation analysis"
    - "microsoft academic a multidisciplinary comparison of citation counts with scopus and mendeley for 29 journals"
    - "citation analysis with microsoft academic"
    - "three practical field normalised alternative indicator formulae for research evaluation"
    - "influencia de la fecha de publicacion online de los articulos cientificos en los indicadores bibliometricos"
    - "the coverage of microsoft academic analyzing the publication output of a university"
    - "when is an article actually published an analysis of online availability publication and indexation dates"
    - "more precise methods for national research citation impact comparisons"

Connected through hyperedge HE-3 (induced by source paper "data mining in scientometrics usage analysis for academic publications"):
  with members:
    - "core elements in the process of citing publications conceptual overview of the literature"
    - "on full text download and citation distributions in scientific scholarly journals"
    - "a review of theory and practice in scientometrics"
    - "is your epl attractive classification of publications through download statistics"

Connected through hyperedge HE-4 (induced by source paper "usage bibliometrics as a tool to measure research activity"):
  with members:
    - "on full text download and citation distributions in scientific scholarly journals"
    - "measuring contextual citation impact of scientific journals"
    - "use of astronomical literature a report on usage patterns"
    - "usage impact factor the effects of sample characteristics on usage based impact metrics"
    - "worldwide use and impact of the nasa astrophysics data system digital library"

Connected through hyperedge HE-5 (induced by source paper "analyzing research performance proposition of a new complementary index"):
  with members:
    - "citex a new citation index to measure the relative importance of authors and papers in scientific publications"
    - "assessing the true role of coauthors in the h index measure of an author scientific impact"

Connected through hyperedge HE-6 (induced by source paper "visualization of co readership patterns from an online reference management system"):
  with members:
    - "how well developed are altmetrics a cross disciplinary analysis of the presence of alternative metrics in scientific publications"
    - "beyond citations scholars visibility on the social web"
    - "usage impact factor the effects of sample characteristics on usage based impact metrics"
    - "toward alternative metrics of journal impact a comparison of download and citation data"

Connected through hyperedge HE-7 (induced by source paper "on full text download and citation distributions in scientific scholarly journals"):
  with members:
    - "does the arxiv lead to higher citations and reduced publisher downloads for mathematics articles"
    - "usage impact factor the effects of sample characteristics on usage based impact metrics"
    - "worldwide use and impact of the nasa astrophysics data system digital library"

Connected through hyperedge HE-8 (induced by source paper "usage history of scientific literature nature metrics and metrics of nature publications"):
  with members:
    - "exploring scientists working timetable a global survey"
    - "tracing scientist s research trends realtimely"
    - "how the scientific community reacts to newly submitted preprints article downloads twitter mentions and citations"
    - "exploring scientists working timetable do scientists often work overtime"
    - "use of astronomical literature a report on usage patterns"
    - "ejournal interface can influence usage statistics implications for libraries publishers and project counter"
    - "worldwide use and impact of the nasa astrophysics data system digital library"
    - "earlier web usage statistics as predictors of later citation impact"

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)