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 randomized algorithms for the pagerank computation"
  Abstract: In the search engine of Google, the PageRank algorithm plays a crucial role in ranking the search results. The algorithm quantifies the importance of each web page based on the link structure of the web. We first provide an overview of the original problem setup. Then, we propose several distributed randomized schemes for the computation of the PageRank, where the pages can locally update their values by communicating to those connected by links. The main objective of the paper is to show that these schemes asymptotically converge in the mean-square sense to the true PageRank values. A detailed discussion on the close relations to the multi-agent consensus problems is also given.

Connected through hyperedge HE-1 (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-2 (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"
    - "ergodic randomized algorithms and dynamics over networks"
    - "gossips and prejudices ergodic randomized dynamics in social networks"
    - "how bad is forming your own opinion"

Connected through hyperedge HE-3 (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"
    - "ergodic randomized algorithms and dynamics over networks"
    - "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-4 (induced by source paper "distributed algorithms for computation of centrality measures in complex networks"):
  with members:
    - "stability and continuity of centrality measures in weighted graphs"
    - "ergodic randomized algorithms and dynamics over networks"
    - "convergence of distributed randomized pagerank algorithms"
    - "axioms for centrality"
    - "explicit convergence rate of a distributed alternating direction method of multipliers"
    - "fundamentals of large sensor networks connectivity capacity clocks and computation"

Connected through hyperedge HE-5 (induced by source paper "opinion influence and evolution in social networks a markovian agents model"):
  with members:
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "ergodic randomized algorithms and dynamics over networks"

Connected through hyperedge HE-6 (induced by source paper "the robustness of democratic consensus"):
  with members:
    - "pagerank optimization by edge selection"
    - "gossips and prejudices ergodic randomized dynamics in social networks"
    - "opinion fluctuations and disagreement in social networks"

Connected through hyperedge HE-7 (induced by source paper "ergodic randomized algorithms and dynamics over networks"):
  with members:
    - "pagerank optimization by edge selection"
    - "almost sure convergence of a randomized algorithm for relative localization in sensor networks"
    - "convergence of distributed randomized pagerank algorithms"
    - "gossips and prejudices ergodic randomized dynamics in social networks"
    - "limited benefit of cooperation in distributed relative localization"
    - "opinion fluctuations and disagreement in social networks"
    - "a web aggregation approach for distributed randomized pagerank algorithms"
    - "error scaling laws for linear optimal estimation from relative measurements"

Connected through hyperedge HE-8 (induced by source paper "the pagerank problem multi agent consensus and web aggregation a systems and control viewpoint"):
  with members:
    - "pagerank optimization by edge selection"
    - "convergence of distributed randomized pagerank algorithms"
    - "a web aggregation approach for distributed randomized pagerank algorithms"
    - "pagerank standing on the shoulders of giants"
    - "co authorship networks in the digital library research community"

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)