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: "compression in the space of permutations"
  Abstract: We investigate lossy compression (source coding) of data in the form of permutations. This problem has direct applications in the storage of ordinal data or rankings, and in the analysis of sorting algorithms. We analyze the rate-distortion characteristic for the permutation space under the uniform distribution, and the minimum achievable rate of compression that allows a bounded distortion after recovery. Our analysis is with respect to different practical and useful distortion measures, including Kendall tau distance, Spearman’s footrule, Chebyshev distance, and inversion-   $\ell _{1}$    distance. We establish equivalence of source code designs under certain distortions and show simple explicit code designs that incur low encoding/decoding complexities and are asymptotically optimal. Finally, we show that for the Mallows model, a popular nonuniform ranking model on the permutation space, both the entropy and the maximum distortion at zero rate are much lower than the uniform counterparts, which motivates the future design of efficient compression schemes for this model.

Connected through hyperedge HE-1 (induced by source paper "infinity norm permutation covering codes from cyclic groups"):
  with members:
    - "limited magnitude error correcting gray codes for rank modulation"
    - "constructions of snake in the box codes under ell_ infty metric for rank modulation"
    - "snake in the box codes for rank modulation under kendall s tau metric"
    - "systematic error correcting codes for rank modulation"
    - "constructions of snake in the box codes for rank modulation"
    - "error correction in flash memories via codes in the ulam metric"
    - "snake in the box codes for rank modulation"
    - "constructions of rank modulation codes"

Connected through hyperedge HE-2 (induced by source paper "improved lower bounds on the size of balls over permutations with the infinity metric"):
  with members:
    - "proof of a conjecture of klove on permutation codes under the chebychev distance"
    - "limited magnitude error correcting gray codes for rank modulation"
    - "new bounds for permutation codes in ulam metric"
    - "the bethe permanent of a nonnegative matrix"
    - "systematic error correcting codes for rank modulation"
    - "systematic codes for rank modulation"
    - "error correction in flash memories via codes in the ulam metric"
    - "snake in the box codes for rank modulation"

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.IT(Information Theory)