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: "ergodic randomized algorithms and dynamics over networks"
  Abstract: Algorithms and dynamics over networks often involve randomization, and randomization may result in oscillating dynamics which fail to converge in a deterministic sense. In this paper, we observe this undesired feature in three applications, in which the dynamics is the randomized asynchronous counterpart of a well-behaved synchronous one. These three applications are network localization, PageRank computation, and opinion dynamics. Motivated by their formal similarity, we show the following general fact, under the assumptions of independence across time and linearities of the updates: if the expected dynamics is stable and converges to the same limit of the original synchronous dynamics, then the oscillations are ergodic and the desired limit can be locally recovered via time-averaging.

Connected through hyperedge HE-1 (induced by source paper "opinion dynamics on correlated subjects in social networks"):
  with members:
    - "belief dynamics in social networks a fluid based analysis"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "on the convergence of the hegselmann krause system"
    - "how agreement and disagreement evolve over random dynamic networks"

Connected through hyperedge HE-2 (induced by source paper "asymptotic properties of distributed social sampling algorithm"):
  with members:
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "consensus conditions of continuous time multi agent systems with time delays and measurement noises"
    - "opinion fluctuations and disagreement in social networks"
    - "network based consensus averaging with general noisy channels"

Connected through hyperedge HE-3 (induced by source paper "randomized opinion dynamics over networks influence estimation from partial observations"):
  with members:
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "active sensing of social networks"
    - "opinion fluctuations and disagreement in social networks"

Connected through hyperedge HE-4 (induced by source paper "belief dynamics in social networks a fluid based analysis"):
  with members:
    - "consensus convergence with stochastic effects"
    - "bounded confidence opinion dynamics in a social network of bayesian decision makers"
    - "on the convergence of the hegselmann krause system"
    - "how agreement and disagreement evolve over random dynamic networks"

Connected through hyperedge HE-5 (induced by source paper "a tutorial on modeling and analysis of dynamic social networks part i"):
  with members:
    - "on the analysis of the degroot friedkin model with dynamic relative interaction matrices"
    - "opinion evolution in time varying social influence networks with prejudiced agents"
    - "differential inequalities in multi agent coordination and opinion dynamics modeling"
    - "distributed algorithms for computation of centrality measures in complex networks"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "open multi agent systems gossiping with random arrivals and departures"
    - "active sensing of social networks"
    - "structural balance and opinion separation in trust mistrust social networks"

Connected through hyperedge HE-6 (induced by source paper "novel multidimensional models of opinion dynamics in social networks"):
  with members:
    - "active sensing of social networks"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"
    - "two steps to obfuscation"
    - "the relationship between knowledge belief and certainty"
    - "gossips and prejudices ergodic randomized dynamics in social networks"
    - "distributed randomized algorithms for the pagerank computation"
    - "how bad is forming your own opinion"

Connected through hyperedge HE-7 (induced by source paper "resilient randomized quantized consensus"):
  with members:
    - "convergence time for unbiased quantized consensus over static and dynamic networks"
    - "robustness and algebraic connectivity of random interdependent networks"
    - "on the strengths of connectivity and robustness in general random intersection graphs"
    - "distributed randomized algorithms for the pagerank computation"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"
    - "convergence time analysis of quantized gossip consensus on digraphs"
    - "distributed consensus algorithms in sensor networks quantized data and random link failures"

Connected through hyperedge HE-8 (induced by source paper "opinion evolution in time varying social influence networks with prejudiced agents"):
  with members:
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "structural balance and opinion separation in trust mistrust social networks"
    - "distributed evaluation and convergence of self appraisals in social networks"
    - "two steps to obfuscation"
    - "gossips and prejudices ergodic randomized dynamics in social networks"
    - "how bad is forming your own opinion"

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.SY(Systems and Control)