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: "fast algorithmic self assembly of simple shapes using random agitation"
  Abstract: We study the power of uncontrolled random molecular movement in the nubot model of self-assembly. The nubot model is an asynchronous nondeterministic cellular automaton augmented with rigid-body movement rules (push/pull, deterministically and programmatically applied to specific monomers) and random agitations (nondeterministically applied to every monomer and direction with equal probability all of the time). Previous work on the nubot model showed how to build simple shapes such as lines and squares quickly---in expected time that is merely logarithmic of their size. These results crucially make use of the programmable rigid-body movement rule: the ability for a single monomer to control the movement of a large objects quickly, and only at a time and place of the programmers' choosing. However, in engineered molecular systems, molecular motion is largely uncontrolled and fundamentally random. This raises the question of whether similar results can be achieved in a more restrictive, and perhaps easier to justify, model where uncontrolled random movements, or agitations, are happening throughout the self-assembly process and are the only form of rigid-body movement. We show that this is indeed the case: we give a polylogarithmic expected time construction for squares using agitation, and a sublinear expected time construction to build a line. Such results are impossible in an agitation-free (and movement-free) setting and thus show the benefits of exploiting uncontrolled random movement.

Connected through hyperedge HE-1 (induced by source paper "improved leader election for self organizing programmable matter"):
  with members:
    - "on the runtime of universal coating for programmable matter"
    - "a markov chain algorithm for compression in self organizing particle systems"
    - "an algorithmic framework for shape formation problems in self organizing particle systems"
    - "leader election and shape formation with self organizing programmable matter"
    - "parallel computation using active self assembly"
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "intrinsic universality and the computational power of self assembly"
    - "a distributed algorithm for gathering many fat mobile robots in the plane"

Connected through hyperedge HE-2 (induced by source paper "more tight bounds for active self assembly using an insertion primitive"):
  with members:
    - "parallel computation using active self assembly"
    - "signal transmission across tile assemblies 3d static tiles simulate active self assembly by 2d signal passing tiles"
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "fast arithmetic in algorithmic self assembly"
    - "asynchronous signal passing for tile self assembly fuel efficient computation and efficient assembly of shapes"
    - "parallelism and time in hierarchical self assembly"
    - "the tile assembly model is intrinsically universal"
    - "complexity of self assembled shapes"

Connected through hyperedge HE-3 (induced by source paper "uniformity is weaker than semi uniformity for some membrane systems"):
  with members:
    - "more tight bounds for active self assembly using an insertion primitive"
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "and and or or uniform polynomial size circuits"
    - "on acceptance conditions for membrane systems characterisations of l and nl"
    - "complexity of self assembled shapes"
    - "the computational power of benenson automata"

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)