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: "gossips and prejudices ergodic randomized dynamics in social networks"
  Abstract: In this paper we study a novel model of opinion dynamics in social networks, which has two main features. First, agents asynchronously interact in pairs, and these pairs are chosen according to a random process. We refer to this communication model as "gossiping". Second, agents are not completely open-minded, but instead take into account their initial opinions, which may be thought of as their "prejudices". In the literature, such agents are often called "stubborn". We show that the opinions of the agents fail to converge, but persistently undergo ergodic oscillations, which asymptotically concentrate around a mean distribution of opinions. This mean value is exactly the limit of the synchronous dynamics of the expected opinions.

Connected through hyperedge HE-1 (induced by source paper "learning political dna in the italian senate"):
  with members:
    - "active sensing of social networks"

Connected through hyperedge HE-2 (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-3 (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"
    - "distributed randomized algorithms for the pagerank computation"
    - "how bad is forming your own opinion"

Connected through hyperedge HE-4 (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"
    - "ergodic randomized algorithms and dynamics over networks"
    - "how bad is forming your own opinion"

Connected through hyperedge HE-5 (induced by source paper "modulus consensus in discrete time signed networks and properties of special recurrent inequalities"):
  with members:
    - "a tutorial on modeling and analysis of dynamic social networks part i"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "structural balance and opinion separation in trust mistrust social networks"
    - "a distributed algorithm for solving a linear algebraic equation"

Connected through hyperedge HE-6 (induced by source paper "evolution of social power for opinion dynamics networks"):
  with members:
    - "novel multidimensional models of opinion dynamics in social networks"
    - "opinion manipulation in social networks"
    - "network aggregative games and distributed mean field control via consensus theory"
    - "ergodic randomized algorithms and dynamics over networks"

Connected through hyperedge HE-7 (induced by source paper "the robustness of democratic consensus"):
  with members:
    - "pagerank optimization by edge selection"
    - "opinion fluctuations and disagreement in social networks"
    - "distributed randomized algorithms for the pagerank computation"

Connected through hyperedge HE-8 (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"
    - "limited benefit of cooperation in distributed relative localization"
    - "opinion fluctuations and disagreement in social networks"
    - "distributed randomized algorithms for the pagerank computation"
    - "a web aggregation approach for distributed randomized pagerank algorithms"
    - "error scaling laws for linear optimal estimation from relative measurements"

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)