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: "optimal fractional repetition codes and fractional repetition batch codes"
  Abstract: Fractional repetition (FR) codes is a family of codes for distributed storage systems (DSS) that allow uncoded exact repairs with minimum repair bandwidth. In this work, we consider a bound on the maximum amount of data that can be stored using an FR code. Optimal FR codes which attain this bound are presented. The constructions of these FR codes are based on families of regular graphs, such as Tur\'an graphs and graphs with large girth; and on combinatorial designs, such as transversal designs and generalized polygons. In addition, based on a connection between FR codes and batch codes, we propose a new family of codes for DSS, called fractional repetition batch codes, which allow uncoded efficient exact repairs and load balancing which can be performed by several users in parallel.

Connected through hyperedge HE-1 (induced by source paper "functional repair codes a view from projective geometry"):
  with members:
    - "cooperative repair constructions of optimal mds codes for all admissible parameters"
    - "on the achievability region of regenerating codes for multiple erasures"
    - "a class of msr codes for clustered distributed storage"
    - "increasing availability in distributed storage systems via clustering"
    - "locality and availability of array codes constructed from subspaces"
    - "a tight lower bound on the sub packetization level of optimal access msr and mds codes"
    - "fractional repetition and erasure batch codes"
    - "on the combinatorics of locally repairable codes via matroid theory"

Connected through hyperedge HE-2 (induced by source paper "bounds on fractional repetition codes using hypergraphs"):
  with members:
    - "load balanced fractional repetition codes"
    - "on the duality of fractional repetition codes"
    - "on some universally good fractional repetition codes"
    - "irregular fractional repetition code optimization for heterogeneous cloud storage"
    - "reconstruction and repair degree of fractional repetition codes"
    - "replication based storage systems with local repair"
    - "explicit mbr all symbol locality codes"
    - "enumerating some fractional repetition codes"

Connected through hyperedge HE-3 (induced by source paper "on dress codes with flowers"):
  with members:
    - "irregular fractional repetition code optimization for heterogeneous cloud storage"
    - "optimal fractional repetition codes based on graphs and designs"
    - "fractional repetition codes with flexible repair from combinatorial designs"
    - "reconstruction and repair degree of fractional repetition codes"
    - "replication based storage systems with local repair"
    - "enumerating some fractional repetition codes"
    - "on weak dress codes for cloud storage"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"

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)