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 dynamics of the error floor behavior in regular ldpc codes"
  Abstract: It is shown that dominant trapping sets of regular LDPC codes, so called absorption sets, undergo a two-phased dynamic behavior in the iterative message-passing decoding algorithm. Using a linear dynamic model for the iteration behavior of these sets, it is shown that they undergo an initial geometric growth phase which stabilizes in a final bit-flipping behavior where the algorithm reaches a fixed point. This analysis is shown to lead to very accurate numerical calculations of the error floor bit error rates down to error rates that are inaccessible by simulation. The topology of the dominant absorption sets of an example code, the IEEE 802.3an (2048,1723) regular LDPC code, are identified and tabulated using topological relationships in combination with search algorithms.

Connected through hyperedge HE-1 (induced by source paper "construction of qc ldpc codes with low error floor by efficient systematic search and elimination of trapping sets"):
  with members:
    - "edge coloring technique to remove small elementary trapping sets from tanner graph of qc ldpc codes with column weight 4"
    - "efficient search of qc ldpc codes with girths 6 and 8 and free of elementary trapping sets with small size"
    - "thresholds of absorbing sets in low density parity check codes"
    - "the cycle consistency matrix approach to absorbing sets in separable circulant based ldpc codes"
    - "design of finite length irregular protograph codes with low error floors over the binary input awgn channel using cyclic liftings"
    - "lowering the error floor of ldpc codes using cyclic liftings"

Connected through hyperedge HE-2 (induced by source paper "from cages to trapping sets and codewords a technique to derive tight upper bounds on the minimum size of trapping sets and minimum distance of ldpc codes"):
  with members:
    - "on the minimum stopping distance of array low density parity check codes"
    - "on characterization of elementary trapping sets of variable regular ldpc codes"
    - "practical graph isomorphism ii"
    - "quasi cyclic ldpc codes influence of proto and tanner graph structure on minimum hamming distance upper bounds"
    - "searching for voltage graph based ldpc tailbiting codes with large girth"
    - "error floor approximation for ldpc codes in the awgn channel"
    - "lowering the error floor of ldpc codes using cyclic liftings"
    - "shortened array codes of large girth"

Connected through hyperedge HE-3 (induced by source paper "thresholds of absorbing sets in low density parity check codes"):
  with members:
    - "the cycle consistency matrix approach to absorbing sets in separable circulant based ldpc codes"
    - "error floor approximation for ldpc codes in the awgn channel"
    - "two bit bit flipping decoding of ldpc codes"
    - "on trapping sets and guaranteed error correction capability of ldpc codes and gldpc codes"
    - "instanton based techniques for analysis and reduction of error floors of ldpc codes"
    - "error correction capability of column weight three ldpc codes"
    - "error correction capability of column weight three ldpc codes"

Connected through hyperedge HE-4 (induced by source paper "analysis of saturated belief propagation decoding of low density parity check codes"):
  with members:
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "controlling the error floor in ldpc decoding"
    - "error floor approximation for ldpc codes in the awgn channel"
    - "quantized iterative message passing decoders with low error floor for ldpc codes"
    - "wave like solutions of general one dimensional spatially coupled systems"
    - "on the capacity of the discrete time channel with uniform output quantization"
    - "degree optimization and stability condition for the min sum decoder"

Connected through hyperedge HE-5 (induced by source paper "the effect of saturation on belief propagation decoding of ldpc codes"):
  with members:
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "controlling the error floor in ldpc decoding"
    - "error floor approximation for ldpc codes in the awgn channel"
    - "quantized iterative message passing decoders with low error floor for ldpc codes"
    - "on the capacity of the discrete time channel with uniform output quantization"
    - "degree optimization and stability condition for the min sum decoder"

Connected through hyperedge HE-6 (induced by source paper "ldpc code density evolution in the error floor region"):
  with members:
    - "controlling the error floor in ldpc decoding"
    - "error floor approximation for ldpc codes in the awgn channel"
    - "the trapping redundancy of linear block codes"
    - "on the block error probability of lp decoding of ldpc codes"
    - "a general method for finding low error rates of ldpc codes"

Connected through hyperedge HE-7 (induced by source paper "on characterization of elementary trapping sets of variable regular ldpc codes"):
  with members:
    - "lowering the error floor of ldpc codes using cyclic liftings"
    - "trapping set enumerators for repeat multiple accumulate code ensembles"
    - "the trapping redundancy of linear block codes"
    - "a general method for finding low error rates of ldpc codes"
    - "pseudo codewords of cycle codes via zeta functions"

Connected through hyperedge HE-8 (induced by source paper "error floor approximation for ldpc codes in the awgn channel"):
  with members:
    - "ldpc code density evolution in the error floor region"
    - "the sum product algorithm for degree 2 check nodes and trapping sets"
    - "numerical issues affecting ldpc error floors"
    - "controlling the error floor in ldpc decoding"
    - "quantized iterative message passing decoders with low error floor for ldpc codes"
    - "the trapping redundancy of linear block codes"
    - "informed dynamic scheduling for belief propagation decoding of ldpc codes"
    - "a general method for finding low error rates of ldpc codes"

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)