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: "hierarchical cooperation for operator controlled device to device communications a layered coalitional game approach"
  Abstract: Device-to-Device (D2D) communications, which allow direct communication among mobile devices, have been proposed as an enabler of local services in 3GPP LTE-Advanced (LTE-A) cellular networks. This work investigates a hierarchical LTE-A network framework consisting of multiple D2D operators at the upper layer and a group of devices at the lower layer. We propose a cooperative model that allows the operators to improve their utility in terms of revenue by sharing their devices, and the devices to improve their payoff in terms of end-to-end throughput by collaboratively performing multi-path routing. To help understanding the interaction among operators and devices, we present a game-theoretic framework to model the cooperation behavior, and further, we propose a layered coalitional game (LCG) to address the decision making problems among them. Specifically, the cooperation of operators is modeled as an overlapping coalition formation game (CFG) in a partition form, in which operators should form a stable coalitional structure. Moreover, the cooperation of devices is modeled as a coalitional graphical game (CGG), in which devices establish links among each other to form a stable network structure for multi-path routing.We adopt the extended recursive core, and Nash network, as the stability concept for the proposed CFG and CGG, respectively. Numerical results demonstrate that the proposed LCG yields notable gains compared to both the non-cooperative case and a LCG variant and achieves good convergence speed.

Connected through hyperedge HE-1 (induced by source paper "detecting cyberattacks in industrial control systems using online learning algorithms"):
  with members:
    - "intelligent reflecting surface irs enabled covert communications in wireless networks"
    - "online learning a comprehensive survey"
    - "cyber insurance for heterogeneous wireless networks"
    - "sol a library for scalable online learning algorithms"
    - "economics of internet of things iot an information market approach"
    - "payoff allocation of service coalition in wireless mesh network a cooperative game perspective"
    - "adaptive power management for wireless base stations in a smart grid environment"
    - "exact soft confidence weighted learning"

Connected through hyperedge HE-2 (induced by source paper "wireless powered device to device communications with ambient backscattering performance modeling and analysis"):
  with members:
    - "analysis of wireless powered device to device communications with ambient backscattering"
    - "wireless charging technologies fundamentals standards and network applications"
    - "wirelessly powered backscatter communication networks modeling coverage and capacity"
    - "downlink coverage probability in a cellular network with ginibre deployed base stations and nakagami m fading channels"
    - "resource allocation in wireless networks with rf energy harvesting and transfer"
    - "wireless powered communication opportunities and challenges"
    - "performance analysis of ambient rf energy harvesting with repulsive point process modeling"
    - "wireless charger networking for mobile devices fundamentals standards and applications"

Connected through hyperedge HE-3 (induced by source paper "analysis of wireless powered device to device communications with ambient backscattering"):
  with members:
    - "wireless charging technologies fundamentals standards and network applications"
    - "resource allocation in wireless networks with rf energy harvesting and transfer"
    - "wireless charger networking for mobile devices fundamentals standards and applications"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "performance analysis of ambient rf energy harvesting a stochastic geometry approach"
    - "dynamic spectrum access in cognitive radio networks with rf energy harvesting"
    - "throughput maximization in wireless powered communication networks"

Connected through hyperedge HE-4 (induced by source paper "data offloading in mobile edge computing a coalitional game based pricing approach"):
  with members:
    - "online learning for offloading and autoscaling in energy harvesting mobile edge computing"
    - "a survey on mobile edge computing the communication perspective"
    - "coalitional game theoretic approach for cooperative transmission in vehicular 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.NI(Networking and Internet Architecture)