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: "efficient and fair collaborative mobile internet access"
  Abstract: The surging global mobile data traffic challenges the economic viability of cellular networks and calls for innovative solutions to reduce the network congestion and improve user experience. In this context, user-provided networks (UPNs), where mobile users share their Internet access by exploiting their diverse network resources and needs, turn out to be very promising. Heterogeneous users with advanced handheld devices can form connections in a distributed fashion and unleash dormant network resources at the network edge. However, the success of such services heavily depends on users' willingness to contribute their resources, such as network access and device battery energy. In this paper, we introduce a general framework for UPN services and design a bargaining-based distributed incentive mechanism to ensure users participation. The proposed mechanism determines the resources that each user should contribute in order to maximise the aggregate data rate in UPN, and fairly allocate the benefit among the users. The numerical results verify that the service can always improve performance, and such improvement increases with the diversity of the users' resources. Quantitatively, it can reach an average 30% increase of the total served traffic for a typical scenario even with only 6 mobile users.

Connected through hyperedge HE-1 (induced by source paper "learning to cooperate in d2d caching networks"):
  with members:
    - "learning to cache with no regrets"
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "a reinforcement learning approach to proactive caching in wireless networks"
    - "caching policy for cache enabled d2d communications by learning user preference"
    - "a low complexity approach to distributed cooperative caching with geographic constraints"
    - "spatial multi lru distributed caching for wireless networks with coverage overlaps"
    - "wireless caching technical misconceptions and business barriers"
    - "a learning based approach to caching in heterogenous small cell networks"

Connected through hyperedge HE-2 (induced by source paper "efficient network sharing with asymmetric constraint information"):
  with members:
    - "hybrid pricing for mobile collaborative internet access"
    - "distributed mechanism design with learning guarantees"
    - "from network sharing to multi tenancy the 5g network slice broker"
    - "virtualization of 5g cellular networks as a hierarchical combinatorial auction"
    - "a general mechanism design methodology for social utility maximization with linear constraints"
    - "an alternating direction method approach to cloud traffic management"

Connected through hyperedge HE-3 (induced by source paper "energy and social cost minimization for data dissemination in wireless networks centralized and decentralized approaches"):
  with members:
    - "cost sharing games for energy efficient multi hop broadcast in wireless networks"

Connected through hyperedge HE-4 (induced by source paper "hybrid pricing for mobile collaborative internet access"):
  with members:
    - "economic analysis of crowdsourced wireless community networks"
    - "incentive design and market evolution of mobile user provided networks"
    - "exchange of services in networks competition cooperation and fairness"
    - "price differentiation for communication networks"
    - "an axiomatic theory of fairness in network resource allocation"

Connected through hyperedge HE-5 (induced by source paper "joint head selection and airtime allocation for data dissemination in mobile social networks"):
  with members:
    - "fair airtime allocation for content dissemination in wifi direct based mobile social networks"
    - "a game theoretic analysis of incentives in content production and sharing over peer to peer networks"

Connected through hyperedge HE-6 (induced by source paper "achieving an efficient and fair equilibrium through taxation"):
  with members:
    - "two sided matching based cooperative spectrum sharing"
    - "economic analysis of crowdsourced wireless community networks"
    - "public wi fi monetization via advertising"
    - "an integrated spectrum and information market for green cognitive communications"
    - "mine gold to deliver green cognitive communications"
    - "combining spot and futures markets a hybrid market approach to dynamic spectrum access"
    - "the robust price of anarchy of altruistic games"
    - "stable nash equilibria of medium access games under symmetric socially altruistic behavior"

Connected through hyperedge HE-7 (induced by source paper "when data sponsoring meets edge caching a game theoretic analysis"):
  with members:
    - "performance bound analysis for crowdsourced mobile video streaming"
    - "joint optimization of data sponsoring and edge caching for mobile video delivery"
    - "mine gold to deliver green cognitive communications"
    - "bargaining based mobile data offloading"

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)