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: "a layered coalitional game framework of wireless relay network"
  Abstract: The wireless relay network (WRN) has recently emerged as an effective way to increase communication capacity and extend a coverage area with low cost. In the WRN, multiple service providers (SPs) can cooperate to share their resources (e.g., relay nodes and spectrum) to achieve higher utility in terms of revenue. Such cooperation can improve the capacity of the WRN and, thus, throughput for terminal devices (TDs). However, this cooperation can be realized only if fair allocation of aggregated utility, which is the sum of the utility of all the cooperative SPs, can be achieved. In this paper, we investigate the WRN consisting of SPs at the upper layer and TDs at the lower layer and present a game-theoretic framework to address the cooperation decision-making problem in the WRN. Specifically, the cooperation of SPs is modeled as an overlapping coalition formation game, in which SPs should form a stable coalitional structure and obtain a fair share of the aggregated utility. We also study the problem of allocating aggregated utility based on the concept of the Shapley value, which stabilizes the cooperation of SPs in the WRN. The cooperation of TDs is modeled as a network formation game, in which TDs establish links among each other to form a stable network structure. Numerical results demonstrate that the proposed distributed algorithm obtains the aggregated utility approximating the optimal solutions and achieves good convergence speed.

Connected through hyperedge HE-1 (induced by source paper "collaborative smartphone sensing using overlapping coalition formation games"):
  with members:
    - "coalitional games with overlapping coalitions for interference management in small cell networks"
    - "coalition formation games for collaborative spectrum sensing"
    - "cooperative games with overlapping coalitions"
    - "coalitional game theory for communication networks a tutorial"
    - "a generic approach to coalition formation"

Connected through hyperedge HE-2 (induced by source paper "performance analysis of ambient rf energy harvesting with repulsive point process modeling"):
  with members:
    - "performance analysis of simultaneous wireless information and power transfer with ambient rf energy harvesting"
    - "resource allocation in wireless networks with rf energy harvesting and transfer"
    - "wireless charger networking for mobile devices fundamentals standards and applications"
    - "the ginibre point process as a model for wireless networks with repulsion"
    - "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"
    - "simultaneous information and energy transfer in large scale networks with without relaying"

Connected through hyperedge HE-3 (induced by source paper "hierarchical cooperation for operator controlled device to device communications a layered coalitional game approach"):
  with members:
    - "payoff allocation of service coalition in wireless mesh network a cooperative game perspective"
    - "price based resource allocation for spectrum sharing femtocell networks a stackelberg game approach"

Connected through hyperedge HE-4 (induced by source paper "performance analysis of ambient rf energy harvesting a stochastic geometry approach"):
  with members:
    - "resource allocation in wireless networks with rf energy harvesting and transfer"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "dynamic spectrum access in cognitive radio networks with rf energy harvesting"
    - "cognitive and energy harvesting based d2d communication in cellular networks stochastic geometry modeling and analysis"
    - "simultaneous information and energy transfer in large scale networks with without relaying"
    - "opportunistic wireless energy harvesting in cognitive radio networks"
    - "enabling wireless power transfer in cellular networks architecture modeling and deployment"

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)