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: "performance of caching based d2d video distribution with measured popularity distributions"
  Abstract: On-demand video accounts for the majority of wireless data traffic. Video distribution schemes based on caching combined with device-to-device (D2D) communications promise order-of-magnitude greater spectral efficiency for video delivery, but hinge on the principle of "concentrated demand distributions." This letter presents, for the first time, evaluations of the spectral efficiency of such schemes based on measured cellular demand distributions. In particular, we use a database with more than 100 million requests (689,461 for cellular users) from the BBC iPlayer, a popular video streaming service in the U.K., to evaluate the throughput-outage tradeoff of a random caching D2D based scheme, and find that also for this realistic case, order-of-magnitude improvements can be achieved. The gains depend on the size of the local cache in the devices; e.g., with a cache size of 32 GB, a throughput increase of two orders of magnitude at an outage probability between 0.01 and 0.1 can be obtained.

Connected through hyperedge HE-1 (induced by source paper "throughput outage analysis and evaluation of cache aided d2d networks with measured popularity distributions"):
  with members:
    - "modeling and performance analysis of full duplex communications in cache enabled d2d networks"
    - "high throughput opportunistic cooperative device to device communications with caching"
    - "cache enabled device to device communications offloading gain and energy cost"
    - "cost optimal caching for d2d networks with user mobility modeling analysis and computational approaches"
    - "spatially correlated content caching for device to device communications"
    - "optimizing content caching to maximize the density of successful receptions in device to device networking"
    - "wireless device to device caching networks basic principles and system performance"
    - "a learning based approach to caching in heterogenous small cell 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)