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: "programming flows in dense mobile environments a multi user diversity perspective"
  Abstract: The emergence of OpenFlow and Software Defined Networks brings new perspectives into how we design the next generation networks, where the number of base stations/access points as well as the devices per subscriber will be dramatically higher. In such dense environments, devices can communicate with each other directly and can attach to multiple base stations (or access points) for simultaneous data communication over multiple paths. This paper explores how networks can maximally enable this multi-path diversity through network programmability. In particular, we propose programmable flow clustering and set policies for inter-group as well as intra-group wireless scheduling. Further, we propose programmable demultiplexing of a single network flow onto multiple paths before the congestion areas and multiplexing them together post congestion areas. We show the benefits of such programmability first for legacy applications that cannot take advantage of multi-homing without such programmability. We then evaluate the benefits for smart applications that take advantage of multi-homing by either opening multiple TCP connections over multiple paths or utilizing a transport protocol such as MP-TCP designed for supporting such environments. More specifically, we built an emulation environment over Mininet for our experiments. Our evaluations using synthetic and trace driven channel models indicate that the proposed programmability in wireless scheduling and flow splitting can increase the throughput substantially for both the legacy applications and the current state of the art.

Connected through hyperedge HE-1 (induced by source paper "fronthaul aware software defined wireless networks resource allocation and user scheduling"):
  with members:
    - "fronthaul aware software defined joint resource allocation and user scheduling for 5g networks"
    - "fronthaul constrained cloud radio access networks insights and challenges"
    - "software defined and virtualized future mobile and wireless networks a survey"
    - "a lyapunov optimization approach to repeated stochastic games"
    - "backhaul aware interference management in the uplink of wireless small cell networks"

Connected through hyperedge HE-2 (induced by source paper "optimal hierarchical radio resource management for hetnets with flexible backhaul"):
  with members:
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"
    - "hierarchical radio resource optimization for heterogeneous networks with enhanced inter cell interference coordination eicic"

Connected through hyperedge HE-3 (induced by source paper "software defined applications in cellular and optical networks"):
  with members:
    - "system architecture and key technologies for 5g heterogeneous cloud radio access networks"
    - "renewable energy aware inter datacenter virtual machine migration over elastic optical networks"
    - "scalability and resilience of software defined networking an overview"
    - "a survey of green networking research"

Connected through hyperedge HE-4 (induced by source paper "fronthaul aware software defined joint resource allocation and user scheduling for 5g networks"):
  with members:
    - "a lyapunov optimization approach to repeated stochastic games"

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.NI(Networking and Internet Architecture)