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: "decentralized minimum cost repair for distributed storage systems"
  Abstract: There have been emerging lots of applications for distributed storage systems e.g., those in wireless sensor networks or cloud storage. Since storage nodes in wireless sensor networks have limited battery, it is valuable to find a repair scheme with optimal transmission costs (e.g., energy). The optimal-cost repair has been recently investigated in a centralized way. However a centralized control mechanism may not be available or is very expensive. For the scenarios, it is interesting to study optimal-cost repair in a decentralized setup. We formulate the optimal-cost repair as convex optimization problems for the network with convex transmission costs. Then we use primal and dual decomposition approaches to decouple the problem into subproblems to be solved locally. Thus, each surviving node, collaborating with other nodes, can minimize its transmission cost such that the global cost is minimized. We further study the optimality and convergence of the algorithms. Finally, we discuss the code construction and determine the field size for finding feasible network codes in our approaches.

Connected through hyperedge HE-1 (induced by source paper "repair for distributed storage systems in packet erasure networks"):
  with members:
    - "repair for distributed storage systems with erasure channels"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"
    - "regenerating codes for errors and erasures in distributed storage"
    - "repairing multiple failures with coordinated and adaptive regenerating codes"
    - "explicit construction of optimal exact regenerating codes for distributed storage"
    - "on coding for reliable communication over packet networks"

Connected through hyperedge HE-2 (induced by source paper "update efficient error correcting product matrix codes"):
  with members:
    - "update efficient regenerating codes with minimum per node storage"
    - "repair for distributed storage systems with erasure channels"
    - "regenerating codes for errors and erasures in distributed storage"
    - "interference alignment in regenerating codes for distributed storage necessity and code constructions"
    - "optimal exact regenerating codes for distributed storage at the msr and mbr points via a product matrix construction"
    - "byzantine fault tolerance of regenerating codes"
    - "exact regenerating codes for byzantine fault tolerance in distributed storage"
    - "distributed data storage with minimum storage regenerating codes exact and functional repair are asymptotically equally efficient"

Connected through hyperedge HE-3 (induced by source paper "optimized cost repair in multi hop distributed storage systems with network coding"):
  with members:
    - "repair for distributed storage systems with erasure channels"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"
    - "locally repairable codes"
    - "cooperative regenerating codes for distributed storage systems"
    - "cost bandwidth tradeoff in distributed storage systems"
    - "a survey on network codes for distributed storage"
    - "decentralized coding algorithms for distributed storage in wireless sensor networks"
    - "minimum cost multicast over coded packet networks"

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)