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: "constructions of snake in the box codes for rank modulation"
  Abstract: Snake-in-the-box code is a Gray code which is capable of detecting a single error. Gray codes are important in the context of the rank modulation scheme which was suggested recently for representing information in flash memories. For a Gray code in this scheme the codewords are permutations, two consecutive codewords are obtained by using the "push-to-the-top" operation, and the distance measure is defined on permutations. In this paper the Kendall's $\tau$-metric is used as the distance measure. We present a general method for constructing such Gray codes. We apply the method recursively to obtain a snake of length $M_{2n+1}=((2n+1)(2n)-1)M_{2n-1}$ for permutations of $S_{2n+1}$, from a snake of length $M_{2n-1}$ for permutations of~$S_{2n-1}$. Thus, we have $\lim\limits_{n\to \infty} \frac{M_{2n+1}}{S_{2n+1}}\approx 0.4338$, improving on the previous known ratio of $\lim\limits_{n\to \infty} \frac{1}{\sqrt{\pi n}}$. By using the general method we also present a direct construction. This direct construction is based on necklaces and it might yield snakes of length $\frac{(2n+1)!}{2} -2n+1$ for permutations of $S_{2n+1}$. The direct construction was applied successfully for $S_7$ and $S_9$, and hence $\lim\limits_{n\to \infty} \frac{M_{2n+1}}{S_{2n+1}}\approx 0.4743$.

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"
    - "compression in the space of permutations"
    - "snake in the box codes for rank modulation under kendall s tau metric"
    - "systematic error correcting 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 "limited magnitude error correcting gray codes for rank modulation"):
  with members:
    - "constructions of snake in the box codes under ell_ infty metric for rank modulation"
    - "improved lower bounds on the size of balls over permutations with the infinity metric"
    - "snake in the box codes for rank modulation under kendall s tau metric"
    - "systematic error correcting codes for rank modulation"
    - "generalized gray codes for local rank modulation"
    - "snake in the box codes for rank modulation"
    - "constructions of rank modulation codes"
    - "on the labeling problem of permutation group codes under the infinity metric"

Connected through hyperedge HE-3 (induced by source paper "secure index coding existence and construction"):
  with members:
    - "limited magnitude error correcting gray codes for rank modulation"
    - "perfectly secure index coding"
    - "snake in the box codes for rank modulation under kendall s tau metric"
    - "on the capacity region for index coding"
    - "duality codes and the integrality gap bound for index coding"
    - "systematic error correcting codes for rank modulation"
    - "local graph coloring and index coding"
    - "an equivalence between network coding and index coding"

Connected through hyperedge HE-4 (induced by source paper "constructions of snake in the box codes under ell_ infty metric for rank modulation"):
  with members:
    - "snake in the box codes for rank modulation under kendall s tau metric"
    - "generalized gray codes for local rank modulation"
    - "snake in the box codes for rank modulation"
    - "codes in permutations and error correction for rank modulation"
    - "correcting limited magnitude errors in the rank modulation scheme"

Connected through hyperedge HE-5 (induced by source paper "snake in the box codes for rank modulation under kendall s tau metric"):
  with members:
    - "generalized gray codes for local rank modulation"
    - "snake in the box codes for rank modulation"
    - "constructions of rank modulation codes"
    - "codes in permutations and error correction for rank modulation"
    - "correcting limited magnitude errors in the rank modulation scheme"

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)