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: "spreading a confirmed rumor a case for oscillatory dynamics"
  Abstract: We consider an information spreading problem in which a population of $n$ agents is to determine, through random pairwise interactions, whether an authoritative rumor source $X$ is present in the population or not. The studied problem is a generalization of the rumor spreading problem, in which we additionally impose that the rumor should disappear when the rumor source no longer exists. It is also a generalization of the self-stabilizing broadcasting problem and has direct application to amplifying trace concentrations in chemical reaction networks.#R##N##R##N#We show that there exists a protocol such that, starting from any possible initial state configuration, in the absence of a rumor source all agents reach a designated ``uninformed'' state after $O(\log^2 n)$ rounds w.h.p., whereas in the presence of the rumor source, at any time after at least $O(\log n)$ rounds from the moment $X$ appears, at least $(1 -\varepsilon)n$ agents are in an ``informed'' state with probability $1 - O(1/n)$, where $\varepsilon>0$ may be arbitrarily fixed. The protocol uses a constant number of states and its operation relies on an underlying oscillatory dynamics with a closed limit orbit. On the negative side, we show that any system which has such an ability to ``suppress false rumors'' in sub-polynomial time must either exhibit significant and perpetual variations of opinion over time in the presence of the rumor source, or use a super-constant number of states.

Connected through hyperedge HE-1 (induced by source paper "robust detection in leak prone population protocols"):
  with members:
    - "minimizing message size in stochastic communication patterns fast self stabilizing protocols with 3 bits"
    - "simple and optimal randomized fault tolerant rumor spreading"
    - "two domain dna strand displacement"
    - "robust stochastic chemical reaction networks and bounded tau leaping"

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)