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: "beeping a maximal independent set"
  Abstract: We consider the problem of computing a maximal independent set (MIS) in an extremely harsh broadcast model that relies only on carrier sensing. The model consists of an anonymous broadcast network in which nodes have no knowledge about the topology of the network or even an upper bound on its size. Furthermore, it is assumed that an adversary chooses at which time slot each node wakes up. At each time slot a node can either beep, that is, emit a signal, or be silent. At a particular time slot, beeping nodes receive no feedback, while silent nodes can only differentiate between none of its neighbors beeping, or at least one of its neighbors beeping. #R##N#We start by proving a lower bound that shows that in this model, it is not possible to locally converge to an MIS in sub-polynomial time. We then study four different relaxations of the model which allow us to circumvent the lower bound and find an MIS in polylogarithmic time. First, we show that if a polynomial upper bound on the network size is known, it is possible to find an MIS in O(log^3 n) time. Second, if we assume sleeping nodes are awoken by neighboring beeps, then we can also find an MIS in O(log^3 n) time. Third, if in addition to this wakeup assumption we allow sender-side collision detection, that is, beeping nodes can distinguish whether at least one neighboring node is beeping concurrently or not, we can find an MIS in O(log^2 n) time. Finally, if instead we endow nodes with synchronous clocks, it is also possible to find an MIS in O(log^2 n) time.

Connected through hyperedge HE-1 (induced by source paper "distributed voting in beep model"):
  with members:
    - "distributed voting ranking with optimal number of states per node"
    - "beeping a maximal independent set fast"
    - "deterministic rendezvous with detection using beeps"
    - "counting in one hop beeping networks"
    - "naming a channel with beeps"
    - "asynchronous broadcasting with bivalent beeps"
    - "feedback from nature simple randomised distributed algorithms for maximal independent set selection and greedy colouring"
    - "design patterns in beeping algorithms examples emulation and analysis"

Connected through hyperedge HE-2 (induced by source paper "noisy beeping networks"):
  with members:
    - "leader election in multi hop radio networks"
    - "efficient multiparty interactive coding for insertions deletions and substitutions"
    - "erasure correction for noisy radio networks"
    - "broadcasting in noisy radio networks"
    - "naming a channel with beeps"
    - "feedback from nature simple randomised distributed algorithms for maximal independent set selection and greedy colouring"
    - "design patterns in beeping algorithms examples emulation and analysis"
    - "communicating with beeps"

Connected through hyperedge HE-3 (induced by source paper "the ants problem"):
  with members:
    - "parallel linear search with no coordination for a randomly placed treasure"
    - "parallel exhaustive search without coordination"
    - "trade offs between selection complexity and performance when searching the plane without communication"
    - "toward more localized local algorithms removing assumptions concerning global knowledge"
    - "memory lower bounds for randomized collaborative search and applications to biology"
    - "collaborative search on the plane without communication"
    - "physarum can compute shortest paths"
    - "online searching with turn cost"

Connected through hyperedge HE-4 (induced by source paper "beeping a maximal independent set fast"):
  with members:
    - "ant inspired density estimation via random walks"
    - "a local broadcast layer for the sinr network model"
    - "an improved distributed algorithm for maximal independent set"
    - "multi message broadcast with abstract mac layers and unreliable links"
    - "consensus with an abstract mac layer"
    - "the locality of distributed symmetry breaking"
    - "feedback from nature an optimal distributed algorithm for maximal independent set selection"

Connected through hyperedge HE-5 (induced by source paper "dynamic networks of finite state machines"):
  with members:
    - "an improved distributed algorithm for maximal independent set"
    - "the locality of distributed symmetry breaking"
    - "feedback from nature an optimal distributed algorithm for maximal independent set selection"
    - "local computation lower and upper bounds"
    - "deploying wireless networks with beeps"
    - "the forgiving graph a distributed data structure for low stretch under adversarial attack"

Connected through hyperedge HE-6 (induced by source paper "deterministic rendezvous with detection using beeps"):
  with members:
    - "the computational power of beeps"
    - "time versus cost tradeoffs for deterministic rendezvous in networks"
    - "rendezvous of two robots with constant memory"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "deploying wireless networks with beeps"

Connected through hyperedge HE-7 (induced by source paper "naming a channel with beeps"):
  with members:
    - "randomized communication in radio networks"
    - "asynchronous broadcasting with bivalent beeps"
    - "scalable wake up of multi channel single hop radio networks"
    - "feedback from nature simple randomised distributed algorithms for maximal independent set selection and greedy colouring"
    - "the computational power of beeps"
    - "anonymous processors with synchronous shared memory"
    - "communicating with beeps"
    - "randomized broadcast in radio networks with collision detection"

Connected through hyperedge HE-8 (induced by source paper "self stabilizing clock synchronization with 3 bit messages"):
  with members:
    - "minimizing message size in stochastic communication patterns fast self stabilizing protocols with 3 bits"
    - "noisy information spreading and plurality consensus"
    - "self stabilizing repeated balls into bins"
    - "towards optimal synchronous counting"
    - "stable leader election in population protocols requires linear time"
    - "stabilizing consensus with many opinions"
    - "plurality consensus in the gossip model"
    - "breathe before speaking efficient information dissemination despite noisy limited and anonymous communication"

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.DS(Data Structures and Algorithms)