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 coset leader graphs of ldpc codes"
  Abstract: Our main technical result is that, in the coset leader graph of a linear binary code of block length n, the metric balls spanned by constant-weight vectors grow exponentially slower than those in $\{0,1\}^n$. #R##N#Following the approach of Friedman and Tillich (2006), we use this fact to improve on the first linear programming bound on the rate of LDPC codes, as the function of their minimal distance. This improvement, combined with the techniques of Ben-Haim and Lytsin (2006), improves the rate vs distance bounds for LDPC codes in a significant sub-range of relative distances.

Connected through hyperedge HE-1 (induced by source paper "erasure codes for distributed storage tight bounds and matching constructions"):
  with members:
    - "explicit msr codes with optimal access optimal sub packetization and small field size for d k 1 k 2 k 3"
    - "a tight rate bound and a matching construction for locally recoverable codes with sequential recovery from any number of multiple erasures"
    - "optimal lrc codes for all lenghts n q"
    - "optimal locally repairable codes of distance 3 and 4 via cyclic codes"
    - "on optimal ternary locally repairable codes"
    - "liquid cloud storage"
    - "rate optimal binary linear locally repairable codes with small availability"
    - "bounds and constructions of codes with all symbol locality and availability"

Connected through hyperedge HE-2 (induced by source paper "a tight rate bound and a matching construction for locally recoverable codes with sequential recovery from any number of multiple erasures"):
  with members:
    - "on minimum distance of locally repairable codes"
    - "binary codes with locality for multiple erasures having short block length"
    - "binary codes with locality for four erasures"
    - "codes with hierarchical locality"
    - "binary locally repairable codes sequential repair for multiple erasures"
    - "an upper bound on the minimum distance of ldpc codes over gf q"
    - "locally repairable codes with functional repair and multiple erasure tolerance"
    - "bounds on the parameters of locally recoverable codes"

Connected through hyperedge HE-3 (induced by source paper "combinatorial alphabet dependent bounds for locally recoverable codes"):
  with members:
    - "bounds on the rate of linear locally repairable codes over small alphabets"
    - "cyclic lrc codes binary lrc codes and upper bounds on the distance of cyclic codes"
    - "cooperative local repair in distributed storage"
    - "storage capacity of repairable networks"
    - "bounds on the parameters of locally recoverable codes"
    - "locally recoverable codes on algebraic curves"
    - "repair locality with multiple erasure tolerance"
    - "locality and availability in distributed storage"

Connected through hyperedge HE-4 (induced by source paper "bounds on the rate of linear locally repairable codes over small alphabets"):
  with members:
    - "constructions and properties of linear locally repairable codes"
    - "optimal linear and cyclic locally repairable codes over small fields"
    - "cooperative local repair in distributed storage"
    - "security in locally repairable storage"
    - "bounds on the parameters of locally recoverable codes"
    - "an integer programming based bound for locally repairable codes"
    - "a family of optimal locally recoverable codes"
    - "an upper bound on the size of locally recoverable 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)