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: "mobility increases the data offloading ratio in d2d caching networks"
  Abstract: Caching at mobile devices, accompanied by device-to-device (D2D) communications, is one promising technique to accommodate the exponentially increasing mobile data traffic. While most previous works ignored user mobility, there are some recent works taking it into account. However, the duration of user contact times has been ignored, making it difficult to explicitly characterize the effect of mobility. In this paper, we adopt the alternating renewal process to model the duration of both the contact and inter-contact times, and investigate how the caching performance is affected by mobility. The data offloading ratio, i.e., the proportion of requested data that can be delivered via D2D links, is taken as the performance metric. We first approximate the distribution of the communication time for a given user by beta distribution through moment matching. With this approximation, an accurate expression of the data offloading ratio is derived. For the homogeneous case where the average contact and inter-contact times of different user pairs are identical, we prove that the data offloading ratio increases with the user moving speed, assuming that the transmission rate remains the same. Simulation results are provided to show the accuracy of the approximate result, and also validate the effect of user mobility.

Connected through hyperedge HE-1 (induced by source paper "exploiting mobility in cache assisted d2d networks performance analysis and optimization"):
  with members:
    - "effect of user mobility on the performance of device to device networks with distributed caching"
    - "wireless device to device caching networks basic principles and system performance"
    - "mobility aware caching for content centric wireless networks modeling and methodology"
    - "mobility aware caching in d2d networks"
    - "the effects of mobility on the hit performance of cached d2d networks"
    - "optimal geographic caching in cellular networks"
    - "backhaul aware caching placement for wireless networks"
    - "fundamental limits of caching in wireless d2d networks"

Connected through hyperedge HE-2 (induced by source paper "cost optimal caching for d2d networks with user mobility modeling analysis and computational approaches"):
  with members:
    - "incentive mechanism design for cache assisted d2d communications a mobility aware approach"
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "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"
    - "fog computing based radio access networks issues and challenges"
    - "mobility aware caching for content centric wireless networks modeling and methodology"
    - "mobility aware caching in d2d networks"
    - "user access mode selection in fog computing based radio access networks"

Connected through hyperedge HE-3 (induced by source paper "coded caching clusters with device to device communications"):
  with members:
    - "on consideration of content preference and sharing willingness in d2d assisted offloading"
    - "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"

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.IT(Information Theory)