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 "nearly optimal bounds for distributed wireless scheduling in the sinr model"):
  Abstract: We study the wireless scheduling problem in the SINR model. More specifically, given a set of $n$ links, each a sender-receiver pair, we wish to partition (or \emph{schedule}) the links into the minimum number of slots, each satisfying interference constraints allowing simultaneous transmission. In the basic problem, all senders transmit with the same uniform power. #R##N#We give a distributed $O(\log n)$-approximation algorithm for the scheduling problem, matching the best ratio known for centralized algorithms. It holds in arbitrary metric space and for every length-monotone and sublinear power assignment. It is based on an algorithm of Kesselheim and V\"ocking, whose analysis we improve by a logarithmic factor. We show that every distributed algorithm uses $\Omega(\log n)$ slots to schedule certain instances that require only two slots, which implies that the best possible absolute performance guarantee is logarithmic.

Includes members:
  Member "distributed connectivity of wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "data dissemination in unified dynamic wireless networks")
  Member "the power of non uniform wireless power":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "data dissemination in unified dynamic wireless networks")
  Member "algorithms for wireless capacity":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "reception capacity definitions game theory and hardness")
  Member "on the problem of wireless scheduling with linear power levels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the power of non uniform wireless power")
  Member "wireless capacity and admission control in cognitive radio":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "effective wireless scheduling via hypergraph sketches")
  Member "wireless capacity with oblivious power in general metrics":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "reception capacity definitions game theory and hardness")
  Member "a constant factor approximation for wireless capacity maximization with power control in the sinr model":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "reception capacity definitions game theory and hardness")
  Member "on a game theoretic approach to capacity maximization in wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "reception capacity definitions game theory and hardness")

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.DS(Data Structures and Algorithms)