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 minimizing data read and download for storage node recovery"
  Abstract: We consider the problem of efficient recovery of the data stored in any individual node of a distributed storage system, from the rest of the nodes. Applications include handling failures and degraded reads. We measure efficiency in terms of the amount of data-read and the download required. To minimize the download, we focus on the minimum bandwidth setting of the 'regenerating codes' model for distributed storage. Under this model, the system has a total of n nodes, and the data stored in any node must be (efficiently) recoverable from any d of the other (n-1) nodes. Lower bounds on the two metrics under this model were derived previously; it has also been shown that these bounds are achievable for the amount of data-read and download when d=n-1, and for the amount of download alone when d≠ n-1. In this paper, we complete the picture by proving the converse result, that when d≠ n-1, these lower bounds are strictly loose with respect to the amount of read required. The proof is information-theoretic, and hence applies to non-linear codes as well. We also show that under two (practical) relaxations of the problem setting, these lower bounds can be met for both read and download simultaneously.

Connected through hyperedge HE-1 (induced by source paper "on mbr codes with replication"):
  with members:
    - "update efficient error correcting product matrix codes"
    - "novel repair by transfer codes and systematic exact mbr codes with lower complexities and smaller field sizes"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"
    - "optimal exact regenerating codes for distributed storage at the msr and mbr points via a product matrix construction"
    - "fractional repetition codes for repair in distributed storage systems"
    - "explicit construction of optimal exact regenerating codes for distributed storage"

Connected through hyperedge HE-2 (induced by source paper "information theoretically secure erasure codes for distributed storage"):
  with members:
    - "toward optimal secure distributed storage systems with exact repair"
    - "the storage repair bandwidth trade off of exact repair linear regenerating codes for the case d k n 1"
    - "a framework of constructions of minimal storage regenerating codes with the optimal access update property"
    - "optimal locally repairable and secure codes for distributed storage systems"
    - "an improved outer bound on the storage repair bandwidth tradeoff of exact repair regenerating codes"
    - "a framework of constructions of minimum storage regenerating codes with the optimal update access property for distributed storage systems based on invariant subspace technique"
    - "novel repair by transfer codes and systematic exact mbr codes with lower complexities and smaller field sizes"
    - "generalization of rashmi shah kumar minimum storage regenerating 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)