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: "the price of local power control in wireless scheduling"
  Abstract: We consider the problem of scheduling wireless links in the physical model, where we seek an assignment of power levels and a partition of the given set of links into the minimum number of subsets satisfying the signal-to-interference-and-noise-ratio (SINR) constraints. Specifically, we are interested in the efficiency of local power assignment schemes, or oblivious power schemes, in approximating wireless scheduling. Oblivious power schemes are motivated by networking scenarios when power levels must be decided in advance, and not as part of the scheduling computation. #R##N#We first show that the known algorithms fail to obtain sub-logarithmic bounds; that is, their approximation ratio are $\tilde\Omega(\log \max(\Delta,n))$, where $n$ is the number of links, $\Delta$ is the ratio of the maximum and minimum link lengths, and $\tilde\Omega$ hides doubly-logarithmic factors. We then present the first $O(\log{\log\Delta})$-approximation algorithm, which is known to be best possible (in terms of $\Delta$) for oblivious power schemes. We achieve this by representing interference by a conflict graph, which allows the application of graph-theoretic results for a variety of related problems, including the weighted capacity problem. We explore further the contours of approximability, and find the choice of power assignment matters; that not all metric spaces are equal; and that the presence of weak links makes the problem harder. Combined, our result resolve the price of oblivious power for wireless scheduling, or the value of allowing unfettered power control.

Connected through hyperedge HE-1 (induced by source paper "effective wireless scheduling via hypergraph sketches"):
  with members:
    - "wireless link capacity under shadowing and fading"
    - "how well can graphs represent wireless interference"
    - "beyond geometry towards fully realistic wireless models"
    - "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"
    - "how well can graphs represent wireless interference"
    - "beyond geometry towards fully realistic wireless models"
    - "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 "universal framework for wireless scheduling problems"):
  with members:
    - "how well can graphs represent wireless interference"
    - "on the complexity of the minimum latency scheduling problem on the euclidean plane"
    - "wireless capacity and admission control in cognitive radio"
    - "wireless capacity with oblivious power in general metrics"
    - "a constant factor approximation for wireless capacity maximization with power control in the sinr model"
    - "wireless scheduling with power control"
    - "fast mixing of parallel glauber dynamics and low delay csma scheduling"
    - "opportunity cost algorithms for combinatorial auctions"

Connected through hyperedge HE-4 (induced by source paper "wireless aggregation at nearly constant rate"):
  with members:
    - "how well can graphs represent wireless interference"
    - "approximation algorithms for wireless link scheduling with flexible data rates"
    - "towards tight bounds for local broadcasting"
    - "percolation and connectivity on the signal to interference ratio graph"
    - "algorithms for wireless capacity"
    - "wireless connectivity and capacity"
    - "a constant factor approximation for wireless capacity maximization with power control in the sinr model"

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)