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: "on the internal dynamics of the shanghai ranking"
  Abstract: The Academic Ranking of World Universities (ARWU) published by researchers at Shanghai Jiao Tong University has become a major source of information for university administrators, country officials, students and the public at large. Recent discoveries regarding its internal dynamics allow the inversion of published ARWU indicator scores to reconstruct raw scores for 500 world class universities. This paper explores raw scores in the ARWU and in other contests to contrast the dynamics of rank-driven and score-driven tables, and to explain why the ARWU ranking is a score-driven procedure. We show that the ARWU indicators constitute sub-scales of a single factor accounting for research performance, and provide an account of the system of gains and non-linearities used by ARWU. The paper discusses the non-linearities selected by ARWU, concluding that they are designed to represent the regressive character of indicators measuring research performance. We propose that the utility and usability of the ARWU could be greatly improved by replacing the unwanted dynamical effects of the annual re-scaling based on raw scores of the best performers.

Connected through hyperedge HE-1 (induced by source paper "world influence and interactions of universities from wikipedia networks"):
  with members:
    - "capturing the influence of geopolitical ties from wikipedia with reduced google matrix"
    - "analysis of world terror networks from the reduced google matrix of wikipedia"
    - "robust clustering of languages across wikipedia growth"
    - "wikiometrics a wikipedia based ranking system"
    - "wikipedia mining of hidden links between political leaders"
    - "wikipedia ranking of world universities"
    - "interactions of cultures and top people of wikipedia from ranking of 24 language editions"
    - "towards physical laws for software architecture"

Connected through hyperedge HE-2 (induced by source paper "mining university rankings publication output and citation impact as their basis"):
  with members:
    - "a critical comparative analysis of five world university rankings"
    - "what do university rankings by fields rank exploring discrepancies between the organizational structure of universities and bibliometric classifications"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"

Connected through hyperedge HE-3 (induced by source paper "measuring the academic reputation through citation networks via pagerank"):
  with members:
    - "a critical comparative analysis of five world university rankings"
    - "wikipedia ranking of world universities"
    - "on the causes of subject specific citation rates in web of science"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "pagerank for ranking authors in co citation networks"
    - "big macs and eigenfactor scores don t let correlation coefficients fool you"

Connected through hyperedge HE-4 (induced by source paper "wikipedia ranking of world universities"):
  with members:
    - "interactions of cultures and top people of wikipedia from ranking of 24 language editions"
    - "highlighting entanglement of cultures via ranking of multilingual wikipedia articles"
    - "toward two dimensional search engines"
    - "towards physical laws for software architecture"
    - "two dimensional ranking of wikipedia articles"

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)