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 some universally good fractional repetition codes"
  Abstract: Data storage in Distributed Storage Systems (DSSs) is a multidimensional optimization problem. Using network coding, one wants to provide reliability, scalability, security, reduced storage overhead, reduced bandwidth for repair and minimal disk I/O etc. in such systems. Regenerating codes have been used to optimize some of these parameters, where a file can be reconstructed by contacting any k nodes in the system and in case of node failure it can be repaired by using any d nodes in the system. This was further generalized to Fractional repetition (FR) codes (a smart replication of encoded packets) on n nodes which also provides optimized disk I/O and where a node failure can be repaired by contacting some specific set of nodes in the system. Several constructions of FR codes using graphs and combinatorial designs are known. In particular, some constructions of codes for heterogeneous DSSs are given using partial regular graph (where number of packets on each node is different) and ring construction. In this work, we show that the codes constructed using the partial regular graph are universally good code. Further, we found several universally good codes using ring construction and t-construction.

Connected through hyperedge HE-1 (induced by source paper "on universally good flower codes"):
  with members:
    - "on the duality of 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 the duality of 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"

Connected through hyperedge HE-3 (induced by source paper "on code rates of fractional repetition codes"):
  with members:
    - "irregular fractional repetition code optimization for heterogeneous cloud storage"
    - "reconstruction and repair degree of fractional repetition codes"
    - "explicit mbr all symbol locality codes"
    - "enumerating some fractional repetition codes"
    - "on weak dress codes for cloud storage"
    - "repairable replication based storage systems using resolvable designs"
    - "scalable constructions of fractional repetition codes in distributed storage systems"
    - "optimal exact regenerating codes for distributed storage at the msr and mbr points via a product matrix construction"

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)