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: "flow allocation for maximum throughput and bounded delay on multiple disjoint paths for random access wireless multihop networks"
  Abstract: In this paper, we consider random access, wireless, multi-hop networks, with multi-packet reception capabilities, where multiple flows are forwarded to the gateways through node disjoint paths. We explore the issue of allocating flow on multiple paths, exhibiting both intra- and inter-path interference, in order to maximize average aggregate flow throughput (AAT) and also provide bounded packet delay. A distributed flow allocation scheme is proposed where allocation of flow on paths is formulated as an optimization problem. Through an illustrative topology it is shown that the corresponding problem is non-convex. Furthermore, a simple, but accurate model is employed for the average aggregate throughput achieved by all flows, that captures both intra- and inter-path interference through the SINR model. The proposed scheme is evaluated through Ns2 simulations of several random wireless scenarios. Simulation results reveal that, the model employed, accurately captures the AAT observed in the simulated scenarios, even when the assumption of saturated queues is removed. Simulation results also show that the proposed scheme achieves significantly higher AAT, for the vast majority of the wireless scenarios explored, than the following flow allocation schemes: one that assigns flows on paths on a round-robin fashion, one that optimally utilizes the best path only, and another one that assigns the maximum possible flow on each path. Finally, a variant of the proposed scheme is explored, where interference for each link is approximated by considering its dominant interfering nodes only.

Connected through hyperedge HE-1 (induced by source paper "trident a load balancing clos network packet switch with queues between input and central stages and in order forwarding"):
  with members:
    - "a split central buffered load balancing clos network switch with in order forwarding"

Connected through hyperedge HE-2 (induced by source paper "traversing virtual network functions from the edge to the core an end to end performance analysis"):
  with members:
    - "an end to end performance analysis for service chaining in a virtualized network"
    - "integrated nfv sdn architectures a systematic literature review"
    - "optimal dynamic cloud network control"
    - "network function virtualization state of the art and research challenges"

Connected through hyperedge HE-3 (induced by source paper "wireless network level partial relay cooperation a stable throughput analysis"):
  with members:
    - "relay selection in cooperative power line communication a multi armed bandit approach"
    - "wireless energy harvesting in a cognitive relay network"
    - "energy aware wireless relay selection in load coupled ofdma cellular networks"
    - "probabilistic cooperation of a full duplex relay in random access networks"
    - "on the stability of random multiple access with stochastic energy harvesting"
    - "effect of energy harvesting on stable throughput in cooperative relay systems"
    - "relay assisted multiple access with full duplex multi packet reception"
    - "5g cellular key enabling technologies and research challenges"

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)