human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "the economics of video websites with membership advertising mode in wireless networks"):
  Abstract: In this paper, we consider a novel business model of video websites via Membership-Advertising Mode in wireless network, where the video websites provide three video services for mobile users: \textit{VIP-Member} service, Regular-Member service and Non-Member service. The VIP-Member (Regular-Member) service provides the highest level (middle level) quality and non-advertising video service with high (low) price, while the Non-Member service provides the lowest level quality and advertising-containing video service for free. Meanwhile, the video websites sell their advertising spaces to the advertiser to create extra revenues. We formulate the interactions among the advertiser, video websites and mobile users as a three-stage Stackelberg game. Specifically, in Stage I, the advertiser decides the advertising budget; in Stage II, the video websites determine their advertising spaces selling strategies for advertiser and the membership pricing strategies for mobile users; in Stage III, the mobile users make their own decisions on video watching strategies for each video website. We analyze the equilibrium of each sub-game. Particularly, we derive the closed-form solutions of each mobile user's optimal video watching strategies, each video website's optimal membership price and the optimal advertising spaces selling number. In addition, we also investigate the piece-wise structure of the advertiser's utility function, and further propose an efficient algorithm to obtain the optimal advertising budget. Finally, numerical results show the impacts of different parameters' values on each entity's utility as well as the key indicators.

Includes members:
  Member "pricing and resource allocation via game theory for a small cell video caching system":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a crowdsourcing framework for on device federated learning")
  Member "auction based coopetition between lte unlicensed and wi fi":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "price competition with lte u and wifi")
  Member "joint caching and pricing strategies for popular content in information centric networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "cost sharing games for energy efficient multi hop broadcast in wireless networks")
  Member "motivating smartphone collaboration in data acquisition and distributed computing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a crowdsourcing framework for on device federated learning")
  Member "what will 5g be":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "five disruptive technology directions for 5g":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deep learning enabled optimization of downlink beamforming under per antenna power constraints algorithms and experimental demonstration")
  Member "price based resource allocation for spectrum sharing femtocell networks a stackelberg game approach":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "joint dynamic pricing and radio resource allocation framework for iot services")
  Member "price differentiation for communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "how to price fresh data")

Question: Please tell me which class the source paper 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)