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: "doped fountain coding for minimum delay data collection in circular networks"
  Abstract: This paper studies decentralized, Fountain and network-coding based strategies for facilitating data collection in circular wireless sensor networks, which rely on the stochastic diversity of data storage. The goal is to allow for a reduced delay collection by a data collector who accesses the network at a random position and random time. Data dissemination is performed by a set of relays which form a circular route to exchange source packets. The storage nodes within the transmission range of the routeiquests relays linearly combine and store overheard relay transmissions using random decentralized strategies. An intelligent data collector first collects a minimum set of coded packets from a subset of storage nodes in its proximity, which might be sufficient for recovering the original packets and, by using a message-passing decoder, attempts recovering all original source packets from this set. Whenever the decoder stalls, the source packet which restarts decoding is polled/doped from its original source node. The random-walk-based analysis of the decoding/doping process furnishes the collection delay analysis with a prediction on the number of required doped packets. The number of doped packets can be surprisingly small when employed with an Ideal Soliton code degree distribution and, hence, the doping strategy may have the least collection delay when the density of source nodes is sufficiently large. Furthermore, we demonstrate that network coding makes dissemination more efficient at the expense of a larger collection delay. Not surprisingly, a circular network allows for a significantly more (analytically and otherwise) tractable strategies relative to a network whose model is a random geometric graph.

Connected through hyperedge HE-1 (induced by source paper "layered constructions for low delay streaming codes"):
  with members:
    - "streaming codes for multicast over burst erasure channels"
    - "robust streaming erasure codes based on deterministic channel approximations"
    - "erasure coding for real time streaming"
    - "round robin streaming with generations"
    - "streaming codes for channels with burst and isolated erasures"
    - "linear error correcting codes with anytime reliability"
    - "diversity embedded streaming erasure codes de sco constructions and optimality"
    - "rateless codes for single server streaming to diverse users"

Connected through hyperedge HE-2 (induced by source paper "streaming codes for multicast over burst erasure channels"):
  with members:
    - "layered constructions for low delay streaming codes"
    - "robust streaming erasure codes based on deterministic channel approximations"
    - "erasure coding for real time streaming"
    - "streaming codes for channels with burst and isolated erasures"
    - "linear error correcting codes with anytime reliability"
    - "diversity embedded streaming erasure codes de sco constructions and optimality"
    - "rateless codes for single server streaming to diverse users"
    - "arq for network coding"

Connected through hyperedge HE-3 (induced by source paper "streaming codes for channels with burst and isolated erasures"):
  with members:
    - "erasure coding for real time streaming"
    - "throughput and latency in finite buffer line networks"
    - "diversity embedded streaming erasure codes de sco constructions and optimality"
    - "rateless codes for single server streaming to diverse users"

Connected through hyperedge HE-4 (induced by source paper "data dissemination and collection algorithms for collaborative sensor networks using dynamic cluster heads"):
  with members:
    - "a distributed data collection algorithm for wireless sensor networks with persistent storage nodes"
    - "decentralized coding algorithms for distributed storage in wireless sensor networks"
    - "raptor codes based distributed storage algorithms for wireless sensor networks"

Connected through hyperedge HE-5 (induced by source paper "diversity embedded streaming erasure codes de sco constructions and optimality"):
  with members:
    - "avoiding interruptions qoe trade offs in block coded streaming media applications"
    - "arq for network coding"
    - "lossless coding for distributed streaming sources"
    - "why block length and delay behave differently if feedback is present"

Connected through hyperedge HE-6 (induced by source paper "fountain communication using concatenated codes"):
  with members:
    - "approaching blokh zyablov error exponent with linear time encodable decodable codes"
    - "multilevel expander 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)