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: "wireless erasure networks with feedback"
  Abstract: Consider a lossy packet network of queues, communicating over a wireless medium. This paper presents a throughput-optimal transmission strategy for a unicast network when feedback is available, which has the following advantages: It requires a very limited form of acknowledgment feedback. It is completely distributed, and independent of the network topology. Finally, communication at the information theoretic cut-set rate requires no network coding and no rateless coding on the packets. This simple strategy consists of each node randomly choosing a packet from its buffer to transmit at each opportunity. However, the packet is only deleted from a node's buffer once it has been successfully received by the final destination

Connected through hyperedge HE-1 (induced by source paper "on the delay advantage of coding in packet erasure networks"):
  with members:
    - "coding delay analysis of chunked codes over line networks"
    - "how fast can dense codes achieve the min cut capacity of line networks"
    - "on the delay of network coding over line networks"
    - "network coding capacity of random wireless networks under a sinr model"
    - "bounds on the network coding capacity for wireless random networks"
    - "coding schemes for line networks"
    - "on coding for reliable communication over packet networks"

Connected through hyperedge HE-2 (induced by source paper "capacity of 1 to k broadcast packet erasure channels with channel output feedback"):
  with members:
    - "multiuser broadcast erasure channel with feedback capacity and algorithms"
    - "completely stale transmitter channel state information is still very useful"
    - "network coding for multiple unicasts an interference alignment approach"
    - "arq for network coding"
    - "a deterministic approach to wireless relay networks"

Connected through hyperedge HE-3 (induced by source paper "collision helps algebraic collision recovery for wireless erasure networks"):
  with members:
    - "arq for network coding"
    - "on coding for reliable communication over 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)