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: "ejournal interface can influence usage statistics implications for libraries publishers and project counter"
  Abstract: The design of a publisher's electronic interface can have a measurable effect on electronic journal usage statistics. A study of journal usage from six COUNTER‐compliant publishers at 32 research institutions in the United States, the United Kingdom, and Sweden indicates that the ratio of PDF to HTML views is not consistent across publisher interfaces, even after controlling for differences in publisher content. The number of full‐text downloads may be artificially inflated when publishers require users to view HTML versions before accessing PDF versions or when linking mechanisms, such as CrossRef, direct users to the full text rather than the abstract of each article. These results suggest that usage reports from COUNTER‐compliant publishers are not directly comparable in their current form. One solution may be to modify publisher numbers with “adjustment factors” deemed to be representative of the benefit or disadvantage due to its interface. Standardization of some interface and linking protocols may obviate these differences and allow for more accurate cross‐publisher comparisons.

Connected through hyperedge HE-1 (induced by source paper "detecting and tracking the real time hot topics a study on computational neuroscience"):
  with members:
    - "usage history of scientific literature nature metrics and metrics of nature publications"
    - "how far does scientific community look back"
    - "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"

Connected through hyperedge HE-2 (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"
    - "worldwide use and impact of the nasa astrophysics data system digital library"
    - "earlier web usage statistics as predictors of later citation impact"
    - "the bibliometric properties of article readership information"

Connected through hyperedge HE-3 (induced by source paper "does the arxiv lead to higher citations and reduced publisher downloads for mathematics articles"):
  with members:
    - "the effect of use and access on citations"

Connected through hyperedge HE-4 (induced by source paper "usage impact factor the effects of sample characteristics on usage based impact metrics"):
  with members:
    - "worldwide use and impact of the nasa astrophysics data system digital library"
    - "the bibliometric properties of article readership information"
    - "toward alternative metrics of journal impact a comparison of download and citation data"

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.IR(Information Retrieval)