human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "wireless broadcast with network coding in mobile ad hoc networks dragoncast"):
  Abstract: 6569 — July 2008 — 23 pagesAbstract: Network coding is a recently proposed method for transmittingdata, which has been shown to have potential to improve wireless network per-formance. We study network coding for one speciﬁc case of multicast, broad-casting, from one source to all nodes of the network.We use network coding as a loss tolerant, energy-eﬃcient, method for broad-cast. Our emphasis is on mobile networks. Our contribution is the proposal ofDRAGONCAST, a protocol to perform network coding in such a dynamicallyevolving environment. It is based on three building blocks: a method to permitreal-time decoding of network coding, a method to adjust the network codingtransmission rates, and a method for ensuring the termination of the broadcast.The performance and behavior of the method are explored experimentallyby simulations; they illustrate the excellent performance of the protocol.Key-words: wireless networks, networkcoding, broadcasting, multi-hop, min-cut, hypergraph, control

Includes members:
  Member "minimum cost multicast over coded packet networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "asynchronous coded caching")
  Member "further results on coding for reliable communication over packet networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "reliability of relay networks under random linear network coding")
  Member "on coding for reliable communication over packet networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "adaptive causal network coding with feedback")

Question: Please tell me which class the source paper 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.NI(Networking and Internet Architecture)