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: "gibbsian on line distributed content caching strategy for cellular networks"
  Abstract: We develop Gibbs sampling based techniques for learning the optimal content placement in a cellular network. A collection of base stations are scattered on the space, each having a cell (possibly overlapping with other cells). Mobile users request for downloads from a finite set of contents according to some popularity distribution. Each base station can store only a strict subset of the contents at a time; if a requested content is not available at any serving base station, it has to be downloaded from the backhaul. Thus, there arises the problem of optimal content placement which can minimize the download rate from the backhaul, or equivalently maximize the cache hit rate. Using similar ideas as Gibbs sampling, we propose simple sequential content update rules that decide whether to store a content at a base station based on the knowledge of contents in neighbouring base stations. The update rule is shown to be asymptotically converging to the optimal content placement for all nodes. Next, we extend the algorithm to address the situation where content popularities and cell topology are initially unknown, but are estimated as new requests arrive to the base stations. Finally, improvement in cache hit rate is demonstrated numerically.

Connected through hyperedge HE-1 (induced by source paper "a distributed auction policy for user association in device to device caching networks"):
  with members:
    - "optimal caching and scheduling for cache enabled d2d communications"
    - "fair distributed user traffic association in cache equipped cellular networks"
    - "proximity aware balanced allocations in cache networks"
    - "power control for d2d underlaid cellular networks modeling algorithms and analysis"
    - "offloading in heterogeneous networks modeling analysis and design insights"
    - "mean interference in hard core wireless networks"
    - "a tractable approach to coverage and rate in cellular networks"
    - "spatial and temporal correlation of the interference in aloha ad hoc networks"

Connected through hyperedge HE-2 (induced by source paper "optimization of caching devices with geometric constraints"):
  with members:
    - "a utility optimization approach to network cache design"
    - "content caching and delivery over heterogeneous wireless networks"
    - "optimal geographic caching in cellular networks"
    - "online coded caching"
    - "the throughput outage tradeoff of wireless one hop caching networks"
    - "fundamental limits of caching"
    - "a versatile and accurate approximation for lru cache performance"
    - "femtocaching and device to device collaboration a new architecture for wireless video distribution"

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)