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: "on consideration of content preference and sharing willingness in d2d assisted offloading"
  Abstract: Device-to-device (D2D) assisted offloading heavily depends on the participation of human users. The content preference and sharing willingness of human users are two crucial factors in the D2D assisted offloading. In this paper, with consideration of these two factors, the optimal content pushing strategy is investigated by formulating an optimization problem to maximize the offloading gain measured by the offloaded traffic. Users are placed into groups according to their content preferences, and share content with intergroup and intragroup users at different sharing probabilities. Although the optimization problem is nonconvex, the closed-form optimal solution for a special case is obtained, when the sharing probabilities for intergroup and intragroup users are the same. Furthermore, an alternative group optimization (AGO) algorithm is proposed to solve the general case of the optimization problem. Finally, simulation results are provided to demonstrate the offloading performance achieved by the optimal pushing strategy for the special case and AGO algorithm. An interesting conclusion drawn is that the group with the largest number of interested users is not necessarily given the highest pushing probability. It is more important to give high pushing probability to users with high sharing willingness.

Connected through hyperedge HE-1 (induced by source paper "individual preference aware caching policy design in wireless d2d networks"):
  with members:
    - "throughput outage analysis and evaluation of cache aided d2d networks with measured popularity distributions"
    - "modeling and performance analysis of full duplex communications in cache enabled d2d networks"
    - "learning based delay aware caching in wireless d2d caching networks"
    - "caching policy optimization for d2d communications by learning user preference"
    - "high throughput opportunistic cooperative device to device communications with caching"
    - "cache enabled device to device communications offloading gain and energy cost"
    - "optimizing content caching to maximize the density of successful receptions in device to device networking"
    - "caching at the wireless edge design aspects challenges and future directions"

Connected through hyperedge HE-2 (induced by source paper "coalitional game framework for content distribution using device to device communication"):
  with members:
    - "a survey on device to device communication in cellular networks"
    - "energy efficient resource allocation and user scheduling for collaborative mobile clouds with hybrid receivers"
    - "coalition formation games for collaborative spectrum sensing"
    - "a generic approach to coalition formation"

Connected through hyperedge HE-3 (induced by source paper "cache placement in two tier hetnets with limited storage capacity cache or buffer"):
  with members:
    - "optimal fairness aware time and power allocation in wireless powered communication networks"
    - "energy efficient resource allocation in machine to machine communications with multiple access and energy harvesting for iot"
    - "cooperative edge caching in user centric clustered mobile networks"
    - "association and load optimization with user priorities in load coupled heterogeneous networks"
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "caching at the wireless edge design aspects challenges and future directions"
    - "wireless caching technical misconceptions and business barriers"
    - "optimal caching and user association in cache enabled heterogeneous wireless networks"

Connected through hyperedge HE-4 (induced by source paper "coded caching clusters with device to device communications"):
  with members:
    - "mobility increases the data offloading ratio in d2d caching networks"
    - "spatially correlated content caching for device to device communications"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimal geographic caching in finite wireless networks"
    - "wireless device to device caching networks basic principles and system performance"
    - "wireless content caching for small cell and d2d networks"
    - "energy costs for traffic offloading by cache enabled d2d communications"
    - "caching in wireless multihop device to device networks"

Connected through hyperedge HE-5 (induced by source paper "caching in the sky proactive deployment of cache enabled unmanned aerial vehicles for optimized quality of experience"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "echo state networks for self organizing resource allocation in lte u with uplink downlink decoupling"
    - "echo state networks for proactive caching in cloud based radio access networks with mobile users"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "recent advances in cloud radio access networks system architectures key techniques and open issues"
    - "octopus a cooperative hierarchical caching strategy for cloud radio access networks"
    - "the new frontier in ran heterogeneity multi tier drone cells"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"

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)