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 duality of fractional repetition codes"
  Abstract: Erasure codes have emerged as an efficient technology for providing data redundancy in distributed storage systems. However, it is a challenging task to repair the failed storage nodes in erasure-coded storage systems, which requires large quantities of network resources. In this paper, we study fractional repetition (FR) codes, which enable the minimal repair complexity and also minimum repair bandwidth during node repair. We focus on the duality of FR codes, and investigate the relationship between the supported file size of an FR code and its dual code. Furthermore, we present a dual bound on the supported file size of FR codes.

Connected through hyperedge HE-1 (induced by source paper "on universally good flower codes"):
  with members:
    - "on some universally good fractional repetition codes"
    - "irregular fractional repetition code optimization for heterogeneous cloud storage"
    - "optimal fractional repetition codes based on graphs and designs"
    - "reconstruction and repair degree of fractional repetition codes"
    - "enumerating some fractional repetition codes"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"
    - "repairable replication based storage systems using resolvable designs"
    - "analysis and construction of functional regenerating codes with uncoded repair for distributed storage systems"

Connected through hyperedge HE-2 (induced by source paper "bounds on fractional repetition codes using hypergraphs"):
  with members:
    - "load balanced fractional repetition codes"
    - "on some universally good fractional repetition codes"
    - "optimal fractional repetition codes and fractional repetition batch 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"

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)