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: "a critical comparative analysis of five world university rankings"
  Abstract: To provide users insight into the value and limits of world university rankings, a comparative analysis is conducted of 5 ranking systems: ARWU, Leiden, THE, QS and U-Multirank. It links these systems with one another at the level of individual institutions, and analyses the overlap in institutional coverage, geographical coverage, how indicators are calculated from raw data, the skewness of indicator distributions, and statistical correlations between indicators. Four secondary analyses are presented investigating national academic systems and selected pairs of indicators. It is argued that current systems are still one-dimensional in the sense that they provide finalized, seemingly unrelated indicator values rather than offering a data set and tools to observe patterns in multi-faceted data. By systematically comparing different systems, more insight is provided into how their institutional coverage, rating methods, the selection of indicators and their normalizations influence the ranking positions of given institutions.

Connected through hyperedge HE-1 (induced by source paper "the differing meanings of indicators under different policy contexts the case of internationalisation"):
  with members:
    - "making sense of global collaboration dynamics developing a methodological framework to study dis similarities between country disciplinary profiles and choice of collaboration partners"
    - "mining university rankings publication output and citation impact as their basis"
    - "the many faces of mobility using bibliometric data to measure the movement of scientists"
    - "do interdisciplinary research teams deliver higher gains to science"
    - "global research collaboration networks and partners in south east asia"
    - "interpreting altmetrics viewing acts on social media through the lens of citation and social theories"
    - "towards a global scientific brain indicators of researcher mobility using co affiliation data"
    - "how journal rankings can suppress interdisciplinary research a comparison between innovation studies and business management"

Connected through hyperedge HE-2 (induced by source paper "mining university rankings publication output and citation impact as their basis"):
  with members:
    - "what do university rankings by fields rank exploring discrepancies between the organizational structure of universities and bibliometric classifications"
    - "on the internal dynamics of the shanghai ranking"
    - "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:
    - "wikipedia ranking of world universities"
    - "on the causes of subject specific citation rates in web of science"
    - "on the internal dynamics of the shanghai ranking"
    - "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"

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)