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: "optimizing content caching to maximize the density of successful receptions in device to device networking"
  Abstract: Device-to-device (   $ \sf {D2D}$   ) communication is a promising approach to optimize the utilization of air interface resources in 5G networks, since it allows decentralized opportunistic short-range communication. For    $ \sf {D2D}$    to be useful, mobile nodes must possess content that other mobiles want. Thus, intelligent caching techniques are essential for    $ \sf {D2D}$   . In this paper, we use results from stochastic geometry to derive the probability of successful content delivery in the presence of interference and noise. We employ a general transmission strategy, where multiple files are cached at the users and different files can be transmitted simultaneously throughout the network. We then formulate an optimization problem, and find the caching distribution that maximizes the density of successful receptions (DSR) under a simple transmission strategy, where a single file is transmitted at a time throughout the network. We model file requests by a Zipf distribution with exponent    $\gamma _{r}$   , which results in an optimal caching distribution that is also a Zipf distribution with exponent    $\gamma _{c}$   , which is related to    $\gamma _{r}$    through a simple expression involving the path loss exponent. We solve the optimal content placement problem for more general demand profiles under Rayleigh, Ricean, and Nakagami small-scale fading distributions. Our results suggest that it is required to flatten the request distribution to optimize the caching performance. We also develop strategies to optimize content caching for the more general case with multiple files, and bound the DSR for that scenario.

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"
    - "on consideration of content preference and sharing willingness in d2d assisted offloading"
    - "caching at the wireless edge design aspects challenges and future directions"

Connected through hyperedge HE-2 (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"
    - "performance of caching based d2d video distribution with measured popularity distributions"
    - "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"
    - "wireless device to device caching networks basic principles and system performance"
    - "a learning based approach to caching in heterogenous small cell networks"

Connected through hyperedge HE-3 (induced by source paper "mobility aware content preference learning in decentralized caching networks"):
  with members:
    - "decentralized multi task learning based on extreme learning machines"
    - "user preference learning based edge caching for fog radio access network"
    - "exploiting mobility in cache assisted d2d networks performance analysis and optimization"
    - "learning to reweight examples for robust deep learning"
    - "mobility and popularity aware coded small cell caching"
    - "caching policy for cache enabled d2d communications by learning user preference"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "effect of user mobility on the performance of device to device networks with distributed caching"

Connected through hyperedge HE-4 (induced by source paper "stochastic design and analysis of wireless cloud caching networks"):
  with members:
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "random caching based cooperative transmission in heterogeneous wireless networks"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "effect of retransmissions on optimal caching in cache enabled small cell networks"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "cache enabled heterogeneous cellular networks optimal tier level content placement"

Connected through hyperedge HE-5 (induced by source paper "markov decision policies for dynamic video delivery in wireless caching networks"):
  with members:
    - "wireless video caching and dynamic streaming under differentiated quality requirements"
    - "mobility aware caching in d2d networks"
    - "wireless content caching for small cell and d2d networks"
    - "caching placement in stochastic wireless caching helper networks channel selection diversity via caching"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "analysis on cache enabled wireless heterogeneous networks"
    - "optimal geographic caching in cellular networks"
    - "feasibility study of stochastic streaming with 4k uhd video traces"

Connected through hyperedge HE-6 (induced by source paper "wireless video caching and dynamic streaming under differentiated quality requirements"):
  with members:
    - "dynamic video streaming in caching enabled wireless mobile networks"
    - "wireless device to device caching networks basic principles and system performance"
    - "collaborative multi bitrate video caching and processing in mobile edge computing networks"
    - "the effects of mobility on the hit performance of cached d2d networks"
    - "wireless content caching for small cell and d2d networks"
    - "caching placement in stochastic wireless caching helper networks channel selection diversity via caching"
    - "analysis on cache enabled wireless heterogeneous networks"
    - "optimal geographic caching in cellular networks"

Connected through hyperedge HE-7 (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"
    - "mobility increases the data offloading ratio in d2d caching networks"
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "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-8 (induced by source paper "modeling analysis and optimization of coded caching in small cell networks"):
  with members:
    - "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "caching at the wireless edge design aspects challenges and future directions"
    - "caching placement in stochastic wireless caching helper networks channel selection diversity via caching"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "joint caching routing and channel assignment for collaborative small cell cellular networks"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"
    - "analysis on cache enabled wireless heterogeneous 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)