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: "distributed leader election and computation of local identifiers for programmable matter"
  Abstract: The context of this paper is programmable matter, which consists of a set of computational elements, called particles, in an infinite graph. The considered infinite graphs are the square, triangular and king grids. Each particle occupies one vertex, can communicate with the adjacent particles, has the same clockwise direction and knows the local positions of neighborhood particles. Under these assumptions, we describe a new leader election algorithm affecting a variable to the particles, called the k-local identifier, in such a way that particles at close distance have each a different k-local identifier. For all the presented algorithms, the particles only need a O(1)-memory space.

Connected through hyperedge HE-1 (induced by source paper "deterministic leader election in programmable matter"):
  with members:
    - "a stochastic approach to shortcut bridging in programmable matter"
    - "on the runtime of universal coating for programmable matter"
    - "convex hull formation for programmable matter"
    - "line recovery by programmable particles"
    - "shape formation by programmable particles"
    - "improved leader election for self organizing programmable matter"
    - "universal coating for programmable matter"
    - "a markov chain algorithm for compression in self organizing particle systems"

Connected through hyperedge HE-2 (induced by source paper "on the convergence of network systems"):
  with members:
    - "complexity theoretic aspects of expanding cellular automata"
    - "on the complexity of local graph transformations"
    - "a simple framework for stability analysis of state dependent networks of heterogeneous agents"
    - "on the transformation capability of feasible mechanisms for programmable matter"
    - "computational complexity of atomic chemical reaction networks"
    - "stream graphs and link streams for the modeling of interactions over time"
    - "on a natural dynamics for linear programming"
    - "simple and efficient local codes for distributed stable network construction"

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.DC(Distributed, Parallel, and Cluster Computing)