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: "random linear multihop relaying in a general field of interferers using spatial aloha"
  Abstract: In our basic model, we study a stationary Poisson pattern of nodes on a line embedded in an independent planar Poisson field of interfering nodes. Assuming slotted Aloha and the signal-to-interference-and-noise ratio capture condition, with the usual power-law path loss model and Rayleigh fading, we explicitly evaluate several local and end-to-end performance characteristics related to the nearest-neighbor packet relaying on this line, and study their dependence on the model parameters (the density of relaying and interfering nodes, Aloha tuning and the external noise power). Our model can be applied in two cases: the first use is for vehicular ad-hoc networks, where vehicles are randomly located on a straight road. The second use is to study a typical route traced in a (general) planar ad-hoc network by some routing mechanism. The approach we have chosen allows us to quantify the non-efficiency of long-distance routing in pure ad-hoc networks and evaluate a possible remedy for it in the form of additional fixed relaying nodes, called road-side units in a vehicular network. It also allows us to consider a more general field of interfering nodes and study the impact of the clustering of its nodes the routing performance. As a special case of a field with more clustering than the Poison field, we consider a Poisson-line field of interfering nodes, in which all the nodes are randomly located on random straight lines. The comparison to our basic model reveals a paradox: clustering of interfering nodes decreases the outage probability of a single (typical) transmission on the route, but increases the mean end-to-end delay.

Connected through hyperedge HE-1 (induced by source paper "coverage and rate analysis of downlink cellular vehicle to everything c v2x communication"):
  with members:
    - "stochastic geometry modeling of cellular v2x communication over shared channels"
    - "how to dimension 5g network when users are distributed on roads modeled by poisson line process"
    - "poisson cox point processes for vehicular networks"
    - "success probability and area spectral efficiency of a vanet modeled as a cox process"
    - "characterizing shortest paths in road systems modeled as manhattan poisson line processes"
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "modeling and design of millimeter wave networks for highway vehicular communication"

Connected through hyperedge HE-2 (induced by source paper "stochastic geometry modeling of cellular v2x communication over shared channels"):
  with members:
    - "success probability and area spectral efficiency of a vanet modeled as a cox process"
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "asymptotic blind spot analysis of localization networks under correlated blocking using a poisson line process"
    - "a primer on cellular network analysis using stochastic geometry"
    - "artificial noise aided secure transmission in large scale spectrum sharing networks"
    - "physical layer security in three tier wireless sensor networks a stochastic geometry approach"
    - "d2d based v2v communications with latency and reliability constraints"

Connected through hyperedge HE-3 (induced by source paper "optimal and suboptimal routing based on partial csi in random ad hoc networks"):
  with members:
    - "ergodic spectral efficiency in mimo cellular networks"
    - "multihop routing in ad hoc networks"
    - "a selection region based routing protocol for random mobile ad hoc networks"
    - "random access transport capacity"

Connected through hyperedge HE-4 (induced by source paper "success probability and area spectral efficiency of a vanet modeled as a cox process"):
  with members:
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"

Connected through hyperedge HE-5 (induced by source paper "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "asymptotic blind spot analysis of localization networks under correlated blocking using a poisson line process"
    - "mmwave vehicle to infrastructure communication analysis of urban microcellular networks"
    - "a primer on cellular network analysis using stochastic geometry"
    - "a stochastic geometric analysis of device to device communications operating over generalized fading channels"
    - "dual branch mrc receivers under spatial interference correlation and nakagami fading"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-6 (induced by source paper "information dissemination speed in delay tolerant urban vehicular networks in a hyperfractal setting"):
  with members:
    - "poisson cox point processes for vehicular networks"
    - "cost estimation of a fixed network deployment over an urban territory"
    - "wireless fractal cellular networks"
    - "information propagation speed in mobile and delay tolerant 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)