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: "when locally repairable codes meet regenerating codes what if some helpers are unavailable"
  Abstract: Locally repairable codes (LRCs) are ingeniously designed distributed storage codes with a (usually small) bounded number of helper nodes participating in repair. Since most existing LRCs assume exact repair and allow full exchange of the stored data ($\beta=\alpha$), they can be viewed as a generalization of the traditional erasure codes (ECs) with a much desired feature of local repair. However, it also means that they lack the features of functional repair and partial information-exchange ($\beta<\alpha$) in the original regenerating codes (RCs). Motivated by the significant bandwidth (BW) reduction of RCs over ECs, existing works by Ahmad et al and by Hollmann studied "locally repairable regenerating codes (LRRCs)" that simultaneously admit all three features: local repair, partial information-exchange, and functional repair. Significant BW reduction was observed. #R##N#One important issue for any local repair schemes (including both LRCs and LRRCs) is that sometimes designated helper nodes may be temporarily unavailable, the result of multiple failures, degraded reads, or other network dynamics. Under the setting of LRRCs with temporary node unavailability, this work studies the impact of different helper selection methods. It proves, for the first time in the literature, that with node unavailability, all existing methods of helper selection, including those used in RCs and LRCs, are strictly repair-BW suboptimal. For some scenarios, it is necessary to combine LRRCs with a new helper selection method, termed dynamic helper selection, to achieve optimal BW. This work also compares the performance of different helper selection methods and answers the following fundamental question: whether one method of helper selection is intrinsically better than the other? for various different scenarios.

Connected through hyperedge HE-1 (induced by source paper "network traffic driven storage repair"):
  with members:
    - "repair duality with locally repairable and locally regenerating codes"
    - "product matrix msr codes with bandwidth adaptive exact repair"
    - "improved schemes for asymptotically optimal repair of mds codes"
    - "ldpc code design for distributed storage balancing repair bandwidth reliability and storage overhead"
    - "codes with unequal locality"
    - "minimum storage regenerating codes for all parameters"
    - "general sub packetized access optimal regenerating codes"
    - "hashtag erasure codes from theory to practice"

Connected through hyperedge HE-2 (induced by source paper "repair duality with locally repairable and locally regenerating codes"):
  with members:
    - "general sub packetized access optimal regenerating codes"
    - "hashtag erasure codes from theory to practice"
    - "balanced locally repairable codes"
    - "a connection between locally repairable codes and exact regenerating codes"
    - "optimal locally repairable and secure codes for distributed storage systems"
    - "xoring elephants novel erasure codes for big data"
    - "simple regenerating codes network coding for cloud storage"
    - "on the locality of codeword symbols"

Connected through hyperedge HE-3 (induced by source paper "a connection between locally repairable codes and exact regenerating codes"):
  with members:
    - "layered exact repair regenerating codes via embedded error correction and block designs"
    - "locally repairable codes and matroid theory"
    - "codes between mbr and msr points with exact repair property"
    - "when and by how much can helper node selection improve regenerating codes"
    - "outer bounds for exact repair codes"
    - "optimal locally repairable and secure codes for distributed storage systems"
    - "new codes and inner bounds for exact repair in distributed storage systems"
    - "a family of optimal locally recoverable codes"

Connected through hyperedge HE-4 (induced by source paper "when can helper node selection improve regenerating codes part i graph based analysis"):
  with members:
    - "optimal locally repairable and secure codes for distributed storage systems"
    - "explicit mbr all symbol locality codes"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"
    - "interference alignment in regenerating codes for distributed storage necessity and code constructions"
    - "locally repairable codes"
    - "cooperative regenerating codes"
    - "simple regenerating codes network coding for cloud storage"
    - "on the locality of codeword symbols"

Connected through hyperedge HE-5 (induced by source paper "locally repairable regenerating code constructions"):
  with members:
    - "when can helper node selection improve regenerating codes part ii an explicit exact repair code construction"
    - "when can helper node selection improve regenerating codes part i graph based analysis"
    - "locally repairable regenerating codes node unavailability and the insufficiency of stationary local repair"
    - "optimal locally repairable and secure codes for distributed storage systems"

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)