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: "beyond geometry towards fully realistic wireless models"
  Abstract: Signal-strength models of wireless communications capture the gradual fading of signals and the additivity of interference. As such, they are closer to reality than other models. However, nearly all theoretic work in the SINR model depends on the assumption of smooth geometric decay, one that is true in free space but is far off in actual environments. The challenge is to model realistic environments, including walls, obstacles, reflections and anisotropic antennas, without making the models algorithmically impractical or analytically intractable. #R##N#We present a simple solution that allows the modeling of arbitrary static situations by moving from geometry to arbitrary decay spaces. The complexity of a setting is captured by a metricity parameter Z that indicates how far the decay space is from satisfying the triangular inequality. All results that hold in the SINR model in general metrics carry over to decay spaces, with the resulting time complexity and approximation depending on Z in the same way that the original results depends on the path loss term alpha. For distributed algorithms, that to date have appeared to necessarily depend on the planarity, we indicate how they can be adapted to arbitrary decay spaces. #R##N#Finally, we explore the dependence on Z in the approximability of core problems. In particular, we observe that the capacity maximization problem has exponential upper and lower bounds in terms of Z in general decay spaces. In Euclidean metrics and related growth-bounded decay spaces, the performance depends on the exact metricity definition, with a polynomial upper bound in terms of Z, but an exponential lower bound in terms of a variant parameter phi. On the plane, the upper bound result actually yields the first approximation of a capacity-type SINR problem that is subexponential in alpha.

Connected through hyperedge HE-1 (induced by source paper "effective wireless scheduling via hypergraph sketches"):
  with members:
    - "wireless link capacity under shadowing and fading"
    - "the price of local power control in wireless scheduling"
    - "how well can graphs represent wireless interference"
    - "jamming resistant learning in wireless networks"
    - "online independent set beyond the worst case secretaries prophets and periods"
    - "dynamic packet scheduling in wireless networks"
    - "on the complexity of the minimum latency scheduling problem on the euclidean plane"
    - "algorithms for wireless capacity"

Connected through hyperedge HE-2 (induced by source paper "spanning trees with edge conflicts and wireless connectivity"):
  with members:
    - "wireless link capacity under shadowing and fading"
    - "the price of local power control in wireless scheduling"
    - "how well can graphs represent wireless interference"
    - "online independent set beyond the worst case secretaries prophets and periods"
    - "dynamic packet scheduling in wireless networks"
    - "algorithms for wireless capacity"
    - "graph products revisited tight approximation hardness of induced matching poset dimension and more"
    - "nearly optimal bounds for distributed wireless scheduling in the sinr model"

Connected through hyperedge HE-3 (induced by source paper "wireless link capacity under shadowing and fading"):
  with members:
    - "3d channel model in 3gpp"
    - "approximation algorithms for wireless link scheduling with flexible data rates"
    - "a fully distributed algorithm for throughput performance in wireless networks"
    - "dynamic packet scheduling in wireless networks"
    - "algorithms for wireless capacity"
    - "secondary spectrum auctions for symmetric and submodular bidders"
    - "wireless connectivity and capacity"
    - "wireless capacity with oblivious power in general metrics"

Connected through hyperedge HE-4 (induced by source paper "deterministic protocols in the sinr model without knowledge of coordinates"):
  with members:
    - "achieving dilution without knowledge of coordinates in the sinr model"
    - "deterministic backbone creation in an sinr network without knowledge of location"
    - "multi broadcasting under the sinr model"
    - "distributed communication in bare bones wireless networks"
    - "almost optimal cover free families"
    - "on the impact of geometry on ad hoc communication in wireless networks"
    - "distributed deterministic broadcasting in uniform power ad hoc wireless networks"
    - "towards tight bounds for local broadcasting"

Connected through hyperedge HE-5 (induced by source paper "data dissemination in unified dynamic wireless networks"):
  with members:
    - "leveraging multiple channels in ad hoc networks"
    - "distributed bare bones communication in wireless networks"
    - "a local broadcast layer for the sinr network model"
    - "distributed communication in bare bones wireless networks"
    - "multi message broadcast with abstract mac layers and unreliable links"
    - "randomized broadcast in radio networks with collision detection"
    - "radio network lower bounds made easy"
    - "on the impact of geometry on ad hoc communication in wireless networks"

Connected through hyperedge HE-6 (induced by source paper "the price of local power control in wireless scheduling"):
  with members:
    - "how well can graphs represent wireless interference"
    - "wireless scheduling algorithms in complex environments"
    - "on the impact of geometry on ad hoc communication in wireless networks"
    - "approximation algorithms for wireless link scheduling with flexible data rates"
    - "the power of non uniform wireless power"
    - "towards tight bounds for local broadcasting"
    - "on the complexity of the minimum latency scheduling problem on the euclidean plane"
    - "algorithms for wireless capacity"

Connected through hyperedge HE-7 (induced by source paper "distributed bare bones communication in wireless networks"):
  with members:
    - "multi broadcasting under the sinr model"
    - "on the impact of geometry on ad hoc communication in wireless networks"
    - "distributed deterministic broadcasting in uniform power ad hoc wireless networks"

Connected through hyperedge HE-8 (induced by source paper "how well can graphs represent wireless interference"):
  with members:
    - "wireless scheduling algorithms in complex environments"
    - "approximation algorithms for wireless link scheduling with flexible data rates"
    - "dynamic packet scheduling in wireless networks"
    - "on the complexity of the minimum latency scheduling problem on the euclidean plane"
    - "algorithms for wireless capacity"
    - "secondary spectrum auctions for symmetric and submodular bidders"
    - "wireless capacity and admission control in cognitive radio"
    - "wireless connectivity and capacity"

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)