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: "implications of inter rater agreement on a student information retrieval evaluation"
  Abstract: This paper is about an information retrieval evaluation on three different retrieval-supporting services. All three services were designed to compensate typical problems that arise in metadata-driven Digital Libraries, which are not adequately handled by a simple tf-idf based retrieval. The services are: (1) a co-word analysis based query expansion mechanism and re-ranking via (2) Bradfordizing and (3) author centrality. The services are evaluated with relevance assessments conducted by 73 information science students. Since the students are neither information professionals nor domain experts the question of inter-rater agreement is taken into consideration. Two important implications emerge: (1) the inter-rater agreement rates were mainly fair to moderate and (2) after a data-cleaning step which erased the assessments with poor agreement rates the evaluation data shows that the three retrieval services returned disjoint but still relevant result sets.

Connected through hyperedge HE-1 (induced by source paper "a framework for evaluating the retrieval effectiveness of search engines"):
  with members:
    - "the influence of commercial intent of search results on their perceived relevance"
    - "problems with the use of web search engines to find results in foreign languages"
    - "the retrieval effectiveness of search engines on navigational queries"
    - "the retrieval effectiveness of web search engines considering results descriptions"

Connected through hyperedge HE-2 (induced by source paper "better than their reputation on the reliability of relevance assessments with students"):
  with members:
    - "science models as value added services for scholarly information systems"
    - "applying science models for search"

Connected through hyperedge HE-3 (induced by source paper "science models as value added services for scholarly information systems"):
  with members:
    - "applying centrality measures to impact analysis a coauthorship network analysis"
    - "towards an explanatory and computational theory of scientific discovery"
    - "an evaluation of bradfordizing effects"
    - "building a terminology network for search"
    - "reducing semantic complexity in distributed digital libraries treatment of term vagueness and document re ranking"
    - "co authorship networks in the digital library research community"

Connected through hyperedge HE-4 (induced by source paper "applying science models for search"):
  with members:
    - "applying centrality measures to impact analysis a coauthorship network analysis"
    - "towards an explanatory and computational theory of scientific discovery"
    - "reducing semantic complexity in distributed digital libraries treatment of term vagueness and document re ranking"
    - "co authorship networks in the digital library research community"

Connected through hyperedge HE-5 (induced by source paper "using lotkaian informetrics for ranking in digital libraries"):
  with members:
    - "applying science models for search"

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)