human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "spanning trees with edge conflicts and wireless connectivity"):
  Abstract: We introduce the problem of finding a spanning tree along with a partition of the tree edges into fewest number of feasible sets, where constraints on the edges define feasibility. The motivation comes from wireless networking, where we seek to model the irregularities seen in actual wireless environments. Not all node pairs may be able to communicate, even if geographically close --- thus, the available pairs are modeled with a link graph $\mathcal{L}=(V,E)$. Also, signal attenuation need not follow a nice geometric formulas --- hence, interference is modeled by a conflict (hyper)graph $\mathcal{C}=(E,F)$ on the links. The objective is to maximize the efficiency of the communication, or equivalently minimizing the length of a schedule of the tree edges in the form of a coloring. #R##N#We find that in spite of all this generality, the problem can be approximated linearly in terms of a versatile parameter, the inductive independence of the interference graph. Specifically, we give a simple algorithm that attains a $O(\rho \log n)$-approximation, where $n$ is the number of nodes and $\rho$ is the inductive independence, and show that near-linear dependence on $\rho$ is also necessary. We also treat an extension to Steiner trees, modeling multicasting, and obtain a comparable result. #R##N#Our results suggest that several canonical assumptions of geometry, regularity and "niceness" in wireless settings can sometimes be relaxed without a significant hit in algorithm performance.

Includes members:
  Member "wireless link capacity under shadowing and fading":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "effective wireless scheduling via hypergraph sketches")
  Member "the price of local power control in wireless scheduling":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "effective wireless scheduling via hypergraph sketches")
  Member "how well can graphs represent wireless interference":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "introduction to local certification")
  Member "beyond geometry towards fully realistic wireless models":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "effective wireless scheduling via hypergraph sketches")
  Member "online independent set beyond the worst case secretaries prophets and periods":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "robust algorithms for the secretary problem")
  Member "dynamic packet scheduling in wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "effective wireless scheduling via hypergraph sketches")
  Member "algorithms for wireless capacity":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "reception capacity definitions game theory and hardness")
  Member "graph products revisited tight approximation hardness of induced matching poset dimension and more":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "weighted upper edge cover complexity and approximability")

Question: Please tell me which class the source paper 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)