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: "performance analysis of random linear network coding in two source single relay networks"
  Abstract: This paper considers the multiple-access relay channel in a setting where two source nodes transmit packets to a destination node, both directly and via a relay node, over packet erasure channels. Intra-session network coding is used at the source nodes and inter-session network coding is employed at the relay node to combine the recovered source packets of both source nodes. In this work, we investigate the performance of the network-coded system in terms of the probability that the destination node will successfully recover the source packets of the two source nodes. We build our analysis on fundamental probability expressions for random matrices over finite fields and we derive upper bounds on the system performance for the case of systematic and non-systematic network coding. Simulation results show that the upper bounds are very tight and accurately predict the decoding probability at the destination node. Our analysis also exposes the clear benefits of systematic network coding at the source nodes compared to non-systematic transmission.

Connected through hyperedge HE-1 (induced by source paper "reliability of relay networks under random linear network coding"):
  with members:
    - "reliability of multicast under random linear network coding"
    - "decoding delay performance of random linear network coding for broadcast"
    - "novel performance analysis of network coded communications in single relay networks"
    - "improved bounds on the decoding failure probability of network coding over multi source multi relay networks"
    - "network coding meets multimedia a review"
    - "further results on coding for reliable communication over packet networks"
    - "on coding for reliable communication over packet networks"

Connected through hyperedge HE-2 (induced by source paper "reliability of multicast under random linear network coding"):
  with members:
    - "reliability of broadcast communications under sparse random linear network coding"
    - "decoding delay performance of random linear network coding for broadcast"
    - "novel performance analysis of network coded communications in single relay networks"
    - "resource allocation frameworks for network coded layered multimedia multicast services"
    - "binary systematic network coding for progressive packet decoding"
    - "optimized network coded scalable video multicasting over embms networks"
    - "rethinking the intercept probability of random linear network coding"
    - "network coding meets multimedia a review"

Connected through hyperedge HE-3 (induced by source paper "novel performance analysis of network coded communications in single relay networks"):
  with members:
    - "resource allocation frameworks for network coded layered multimedia multicast services"

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)