human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "distributed algorithms for computation of centrality measures in complex networks"):
  Abstract: This paper is concerned with distributed computation of several commonly used centrality measures in complex networks. In particular, we propose deterministic algorithms, which converge in finite time, for the distributed computation of the degree, closeness and betweenness centrality measures in directed graphs. Regarding eigenvector centrality, we consider the PageRank problem as its typical variant, and design distributed randomized algorithms to compute PageRank for both fixed and time-varying graphs. A key feature of the proposed algorithms is that they do not require to know the network size, which can be simultaneously estimated at every node, and that they are clock-free. To address the PageRank problem of time-varying graphs, we introduce the concept of persistent graph, which eliminates the effect of spamming nodes. Moreover, we prove that these algorithms converge almost surely and in the sense of   $L^p$  . Finally, the effectiveness of the proposed algorithms is illustrated via extensive simulations using a classical benchmark.

Includes members:
  Member "stability and continuity of centrality measures in weighted graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "sampling on networks estimating spectral centrality measures and their impact in evaluating other relevant network measures")
  Member "ergodic randomized algorithms and dynamics over networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "opinion dynamics on correlated subjects in social networks")
  Member "convergence of distributed randomized pagerank algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ergodic randomized algorithms and dynamics over networks")
  Member "axioms for centrality":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "maximizing influence based group shapley centrality")
  Member "explicit convergence rate of a distributed alternating direction method of multipliers":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "networked parallel algorithms for robust convex optimization via the scenario approach")
  Member "distributed randomized algorithms for the pagerank computation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a tutorial on modeling and analysis of dynamic social networks part i")
  Member "fundamentals of large sensor networks connectivity capacity clocks and computation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "cooperative network synchronization asymptotic analysis")

Question: Please tell me which class the source paper 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)