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: "the role of persistent graphs in the agreement seeking of social networks"
  Abstract: This paper investigates the role persistent arcs play for a social network to reach a global belief agreement under discrete-time or continuous-time evolution. Each (directed) arc in the underlying communication graph is assumed to be associated with a time-dependent weight function which describes the strength of the information flow from one node to another. An arc is said to be persistent if its weight function has infinite $\mathscr{L}_1$ or $\ell_1$ norm for continuous-time or discrete-time belief evolutions, respectively. The graph that consists of all persistent arcs is called the persistent graph of the underlying network. Three necessary and sufficient conditions on agreement or $\epsilon$-agreement are established, by which we prove that the persistent graph fully determines the convergence to a common opinion in social networks. It is shown how the convergence rates explicitly depend on the diameter of the persistent graph. The results adds to the understanding of the fundamentals behind global agreements, as it is only persistent arcs that contribute to the convergence.

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 "differential inequalities in multi agent coordination and opinion dynamics modeling"):
  with members:
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "structural balance and opinion separation in trust mistrust social networks"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"
    - "distributed surrounding design of target region with complex adjacency matrices"
    - "biased assimilation homophily and the dynamics of polarization"
    - "reaching an optimal consensus dynamical systems that compute intersections of convex sets"
    - "convergence of type symmetric and cut balanced consensus seeking systems extended version"

Connected through hyperedge HE-3 (induced by source paper "persistent flows and non reciprocal interactions in deterministic networks"):
  with members:
    - "structural balance and opinion separation in trust mistrust social networks"
    - "consensus over random graph processes network borel cantelli lemmas for almost sure convergence"
    - "continuous time consensus under non instantaneous reciprocity"
    - "how agreement and disagreement evolve over random dynamic networks"
    - "convergence of type symmetric and cut balanced consensus seeking systems extended version"

Connected through hyperedge HE-4 (induced by source paper "on the analysis of the degroot friedkin model with dynamic relative interaction matrices"):
  with members:
    - "game theoretic analysis of the hegselmann krause model for opinion dynamics in finite dimensions"
    - "distributed evaluation and convergence of self appraisals in social networks"

Connected through hyperedge HE-5 (induced by source paper "distributed inference for relay assisted sensor networks with intermittent measurements over fading channels"):
  with members:
    - "toward resource optimal consensus over the wireless medium"
    - "convergence rate analysis of distributed gossip linear parameter estimation fundamental limits and tradeoffs"
    - "distributed parameter estimation in sensor networks nonlinear observation models and imperfect communication"
    - "sensor networks with random links topology design for distributed consensus"
    - "distributed decision through self synchronizing sensor networks in the presence of propagation delays and nonreciprocal channels"

Connected through hyperedge HE-6 (induced by source paper "opinion dynamics in social networks with hostile camps consensus vs polarization"):
  with members:
    - "structural balance and opinion separation in trust mistrust social networks"
    - "the forest consensus theorem"
    - "biased assimilation homophily and the dynamics of polarization"

Connected through hyperedge HE-7 (induced by source paper "continuous time consensus under non instantaneous reciprocity"):
  with members:
    - "the convergence of bird flocking"
    - "multi agent coordination using nearest neighbor rules revisiting the vicsek model"

Connected through hyperedge HE-8 (induced by source paper "randomized consensus with attractive and repulsive links"):
  with members:
    - "randomized gossip algorithm with unreliable communication"
    - "how agreement and disagreement evolve over random dynamic networks"
    - "randomized optimal consensus of multi agent systems"
    - "sensor networks with random links topology design for distributed consensus"

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.MA(Multiagent Systems)