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: "improved singleton type bounds for locally repairable codes"
  Abstract: Locally repairable codes (LRCs) are error correcting codes used in distributed data storage. Besides a global level, they enable errors to be corrected locally, reducing the need for communication between storage nodes. There is a close connection between almost affine LRCs and matroid theory which can be utilized to construct good LRCs and derive bounds on their performance. #R##N#This article presents two improvements to such results in [T. Westerb\"ack et al., "On the Combinatorics of Locally Repairable Codes", Arxiv: 1501.00153]: The class of parameters $(n,k,d,r,\delta)$ for which there exists a matroid achieving the generalized Singleton bound for LRCs, is expanded. Also, an improved lower bound is given for $d_{\rm{max}}(n,k,r,\delta)$, the maximal achievable minimum distance $d$ that a matroid with parameters $(n,k,r,\delta)$ can have. This bound is proved to be optimal for the main class of matroids used to derive the existence bounds in [T. Westerb\"ack et al., "On the Combinatorics of Locally Repairable Codes", Arxiv: 1501.00153] and in this article. The results obtained directly translate to similar results on LRCs using the connection between them and matroids.

Connected through hyperedge HE-1 (induced by source paper "matroid theory and storage codes bounds and constructions"):
  with members:
    - "locally recoverable codes from algebraic curves and surfaces"
    - "constructions and properties of linear locally repairable codes"
    - "codes with hierarchical locality"
    - "optimal binary locally repairable codes via anticodes"
    - "pir with low storage overhead coding instead of replication"
    - "bounds for batch codes with restricted query size"
    - "applications of polymatroid theory to distributed storage systems"
    - "bounds on the parameters of locally recoverable codes"

Connected through hyperedge HE-2 (induced by source paper "bounds on binary locally repairable codes tolerating multiple erasures"):
  with members:
    - "binary codes with locality for multiple erasures having short block length"
    - "optimal binary locally repairable codes via anticodes"
    - "cooperative local repair in distributed storage"
    - "binary linear locally repairable codes"
    - "bounds on the parameters of locally recoverable codes"
    - "repair locality with multiple erasure tolerance"
    - "an integer programming based bound for locally repairable codes"
    - "a family of optimal 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)