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: "percolation for d2d networks on street systems"
  Abstract: We study fundamental characteristics for the connectivity of multi-hop D2D networks. Devices are randomly distributed on street systems and are able to communicate with each other whenever their separation is smaller than some connectivity threshold. We model the street systems as Poisson-Voronoi or Poisson-Delaunay tessellations with varying street lengths. We interpret the existence of adequate D2D connectivity as percolation of the underlying random graph. We derive and compare approximations for the critical device-intensity for percolation, the percolation probability and the graph distance. Our results show that for urban areas, the Poisson Boolean Model gives a very good approximation, while for rural areas, the percolation probability stays far from 1 even far above the percolation threshold.

Connected through hyperedge HE-1 (induced by source paper "malware propagation in urban d2d networks"):
  with members:
    - "the typical cell in anisotropic tessellations"
    - "a survey on device to device communication in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "a key 6g challenge and opportunity connecting the remaining 4 billions a survey on rural connectivity"):
  with members:
    - "connecting the unconnected towards frugal 5g network architecture and standardization"
    - "5g new radio evolution meets satellite communications opportunities challenges and solutions"
    - "aeronautical ad hoc networking for the internet above the clouds"
    - "information and communications technologies for sustainable development goals state of the art needs and perspectives"
    - "sum rate analysis for high altitude platform hap drones with tethered balloon relay"
    - "optical communication in space challenges and mitigation techniques"
    - "feasibility architecture and cost considerations of using tvws for rural internet access in 5g"
    - "fso based vertical backhaul fronthaul framework for 5g wireless networks"

Connected through hyperedge HE-3 (induced by source paper "relay assisted device to device networks connectivity and uberization opportunities"):
  with members:
    - "the influence of canyon shadowing on device to device connectivity in urban scenario"
    - "resource optimization in device to device cellular systems using time frequency hopping"

Connected through hyperedge HE-4 (induced by source paper "the influence of canyon shadowing on device to device connectivity in urban scenario"):
  with members:
    - "device to device communication in cellular networks"
    - "a survey on device to device communication in cellular networks"
    - "spectrum sharing for device to device communication in cellular networks"
    - "what will 5g be"
    - "five disruptive technology directions for 5g"

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)