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: "evolution of social power in social networks with dynamic topology"
  Abstract: The recently proposed DeGroot-Friedkin model describes the dynamical evolution of individual social power in a social network that holds opinion discussions on a sequence of different issues. This paper revisits that model, and uses nonlinear contraction analysis, among other tools, to establish several novel results. First, we show that for a social network with constant topology, each individual's social power converges to its equilibrium value exponentially fast, whereas previous results only concluded asymptotic convergence. Second, when the network topology is dynamic (i.e., the relative interaction matrix may change between any two successive issues), we show that each individual exponentially forgets its initial social power. Specifically, individual social power is dependent only on the dynamic network topology, and initial (or perceived) social power is forgotten as a result of sequential opinion discussion. Last, we provide an explicit upper bound on an individual's social power as the number of issues discussed tends to infinity; this bound depends only on the network topology. Simulations are provided to illustrate our results.

Connected through hyperedge HE-1 (induced by source paper "social power evolution in influence networks with stubborn individuals"):
  with members:
    - "stability theory of stochastic models in opinion dynamics"
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "distributed abstract optimization via constraints consensus theory and applications"

Connected through hyperedge HE-2 (induced by source paper "cooperative opinion dynamics on multiple interdependent topics modeling and analysis"):
  with members:
    - "continuous time opinion dynamics on multiple interdependent topics"
    - "cooperative opinion dynamics on multiple interdependent topics modeling and some observations"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "the impact of random actions on opinion dynamics"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"
    - "game theoretic analysis of the hegselmann krause model for opinion dynamics in finite dimensions"

Connected through hyperedge HE-3 (induced by source paper "a simple framework for stability analysis of state dependent networks of heterogeneous agents"):
  with members:
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "inertial hegselmann krause systems"
    - "convergence time of quantized metropolis consensus over time varying networks"
    - "on the convergence of the hegselmann krause system"

Connected through hyperedge HE-4 (induced by source paper "an influence network model to study discrepancies in expressed and private opinions"):
  with members:
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "a psychologically motivated model of opinion change with applications to american politics"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"
    - "biased assimilation homophily and the dynamics of polarization"

Connected through hyperedge HE-5 (induced by source paper "modification of social dominance in social networks by selective adjustment of interpersonal weights"):
  with members:
    - "distributed evaluation and convergence of self appraisals in social networks"

Connected through hyperedge HE-6 (induced by source paper "nonlinear mapping convergence and application to social networks"):
  with members:
    - "on the analysis of the degroot friedkin model with dynamic relative interaction matrices"

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.SI(Social and Information Networks)