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: "optimized network coded scalable video multicasting over embms networks"
  Abstract: Delivery of multicast video services over fourth generation (4G) networks such as 3GPP Long Term Evolution-Advanced (LTE-A) is gaining momentum. In this paper, we address the issue of efficiently multicasting layered video services by defining a novel resource allocation framework that aims to maximize the service coverage whilst keeping the radio resource footprint low. A key point in the proposed system mode is that the reliability of multicast video services is ensured by means of an Unequal Error Protection implementation of the Network Coding (UEP-NC) scheme. In addition, both the communication parameters and the UEP-NC scheme are jointly optimized by the proposed resource allocation framework. Numerical results show that the proposed allocation framework can significantly increase the service coverage when compared to a conventional Multi-rate Transmission (MrT) strategy.

Connected through hyperedge HE-1 (induced by source paper "resource allocation for loss tolerant video streaming in embms"):
  with members:
    - "towards optimal grouping and resource allocation for multicast streaming in lte"
    - "resource allocation frameworks for network coded layered multimedia multicast services"
    - "throughput optimal scheduling design with regular service guarantees in wireless networks"

Connected through hyperedge HE-2 (induced by source paper "random linear network coding for 5g mobile video delivery"):
  with members:
    - "reliability of broadcast communications under sparse random linear network coding"
    - "reliable video streaming over mmwave with multi connectivity and network coding"
    - "decoding delay performance of random linear network coding for broadcast"
    - "optimized interface diversity for ultra reliable low latency communication urllc"
    - "analysis and optimization of sparse random linear network coding for reliable multicast services"
    - "collaborative mobile edge computing in 5g networks new paradigms scenarios and challenges"
    - "resource allocation frameworks for network coded layered multimedia multicast services"
    - "random linear network coding for wireless layered video broadcast general design methods for adaptive feedback free transmission"

Connected through hyperedge HE-3 (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"
    - "performance analysis of random linear network coding in two source single relay networks"
    - "rethinking the intercept probability of random linear network coding"
    - "network coding meets multimedia a review"

Connected through hyperedge HE-4 (induced by source paper "on optimization of network coded scalable multimedia service multicasting"):
  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)