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: "coalescing random walks and voting on connected graphs"
  Abstract: In a coalescing random walk, a set of particles make independent random walks on a graph. Whenever one or more particles meet at a vertex, they unite to form a single particle, which then continues the random walk through the graph. Coalescing random walks can be used to achieve consensus in distributed networks, and is the basis of the self-stabilizing mutual exclusion algorithm of Israeli and Jalfon. #R##N#Let G=(V,E), be an undirected, connected n vertex graph with m edges. Let C(n) be the expected time for all particles to coalesce, when initially one particle is located at each vertex of an n vertex graph. #R##N#We study the problem of bounding the coalescence time C(n) for general classes of graphs. Our main result is that C(n)= O(1/(1-lambda_2))*((log n)^4 +n/A)), where lambda_2 is the absolute value of the second largest eigenvalue of the transition matrix of the random walk, A= (sum d^2(v))/(d^2 n), d(v) is the degree of vertex v, and d is the average node degree. The parameter A is an indicator of the variability of node degrees. Thus 1 <= A =O(n), with A=1 for regular graphs.

Connected through hyperedge HE-1 (induced by source paper "interactive particle systems on hypergraphs drift analysis and the walksat algorithm"):
  with members:
    - "the set of solutions of random xorsat formulae"
    - "the solution space geometry of random linear equations"
    - "relationship between clustering and algorithmic phase transitions in the random k xorsat model and its np complete extensions"
    - "on the dynamics of social balance on general networks with an application to xor sat"
    - "spines of random constraint satisfaction problems definition and connection with computational complexity"

Connected through hyperedge HE-2 (induced by source paper "robotic surveillance based on the meeting time of random walks"):
  with members:
    - "convergence time for unbiased quantized consensus over static and dynamic networks"
    - "stochastic surveillance strategies for spatial quickest detection"
    - "supervised random walks predicting and recommending links in social networks"

Connected through hyperedge HE-3 (induced by source paper "ignore or comply on breaking symmetry in consensus"):
  with members:
    - "bounds on the voter model in dynamic networks"
    - "efficient k party voting with two choices"
    - "stabilizing consensus with many opinions"
    - "the power of two choices in distributed voting"
    - "plurality consensus in the gossip model"
    - "simple dynamics for plurality consensus"
    - "absorption time of the moran process"

Connected through hyperedge HE-4 (induced by source paper "random walk based in network computation of arbitrary functions"):
  with members:
    - "decentralized random walk based data collection in networks"
    - "on coalescence time in graphs when is coalescing as fast as meeting"
    - "on the maximum rate of networked computation in a capacitated network"
    - "optimal embedding of functions for in network computation complexity analysis and algorithms"
    - "tight bounds for randomized load balancing on arbitrary network topologies"
    - "towards a queueing based framework for in network function computation"

Connected through hyperedge HE-5 (induced by source paper "population protocols for leader election and exact majority with o log 2 n states and o log 2 n convergence time"):
  with members:
    - "determining majority in networks with local interactions and very small local memory"
    - "tight bounds for randomized load balancing on arbitrary network topologies"

Connected through hyperedge HE-6 (induced by source paper "token based function computation with memory"):
  with members:
    - "gossip algorithms for distributed signal processing"
    - "fast distributed algorithms for computing separable functions"

Connected through hyperedge HE-7 (induced by source paper "on coalescence time in graphs when is coalescing as fast as meeting"):
  with members:
    - "ignore or comply on breaking symmetry in consensus"
    - "bounds on the voter model in dynamic networks"
    - "fast plurality consensus in regular expanders"
    - "stabilizing consensus with many opinions"
    - "the power of two choices in distributed voting"
    - "plurality consensus in the gossip model"

Connected through hyperedge HE-8 (induced by source paper "bounds on the voter model in dynamic networks"):
  with members:
    - "global majority consensus by local majority polling on graphs of a given degree sequence"
    - "efficient k party voting with two choices"
    - "the power of two choices in distributed voting"
    - "absorption time of the moran process"
    - "approximating fixation probabilities in the generalized moran process"

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)