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 evolution of beliefs over signed social networks"
  Abstract: We study the evolution of opinions (or beliefs) over a social network modeled as a signed graph. The sign attached to an edge in this graph characterizes whether the corresponding individuals or end nodes are friends (positive links) or enemies (negative links). Pairs of nodes are randomly selected to interact over time, and when two nodes interact, each of them updates its opinion based on the opinion of the other node and the sign of the corresponding link. This model generalizes DeGroot model to account for negative links: when two enemies interact, their opinions go in opposite directions. We provide conditions for convergence and divergence in expectation, in mean-square, and in almost sure sense, and exhibit phase transition phenomena for these notions of convergence depending on the parameters of the opinion update model and on the structure of the underlying graph. We establish a {\it no-survivor} theorem, stating that the difference in opinions of any two nodes diverges whenever opinions in the network diverge as a whole. We also prove a {\it live-or-die} lemma, indicating that almost surely, the opinions either converge to an agreement or diverge. Finally, we extend our analysis to cases where opinions have hard lower and upper limits. In these cases, we study when and how opinions may become asymptotically clustered to the belief boundaries, and highlight the crucial influence of (strong or weak) structural balance of the underlying network on this clustering phenomenon.

Connected through hyperedge HE-1 (induced by source paper "a geometric model of opinion polarization"):
  with members:
    - "on the inevitability of online echo chambers"
    - "balancing information exposure in social networks"
    - "novel multidimensional models of opinion dynamics in social networks"
    - "reducing controversy by connecting opposing views"
    - "biased assimilation homophily and the dynamics of polarization"

Connected through hyperedge HE-2 (induced by source paper "dynamics of opinions with social biases"):
  with members:
    - "consensus over random graph processes network borel cantelli lemmas for almost sure convergence"
    - "opinion fluctuations and disagreement in social networks"
    - "biased assimilation homophily and the dynamics of polarization"
    - "how bad is forming your own opinion"
    - "how agreement and disagreement evolve over random dynamic networks"

Connected through hyperedge HE-3 (induced by source paper "the power allocation game on a network balanced equilibrium"):
  with members:
    - "countries survival in networked international environments"
    - "game of power allocation on networks"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"

Connected through hyperedge HE-4 (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-5 (induced by source paper "dynamics over signed networks"):
  with members:
    - "structural balance and opinion separation in trust mistrust social networks"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"
    - "consensus over random graph processes network borel cantelli lemmas for almost sure convergence"
    - "convergence and state reconstruction of time varying multi agent systems from complete observability theory"
    - "how agreement and disagreement evolve over random dynamic networks"
    - "distributed consensus algorithms in sensor networks quantized data and random link failures"

Connected through hyperedge HE-6 (induced by source paper "finite time convergent gossiping"):
  with members:
    - "consensus over random graph processes network borel cantelli lemmas for almost sure convergence"
    - "finite time consensus using stochastic matrices with positive diagonals"
    - "analysis of sum weight like algorithms for averaging in wireless sensor networks"
    - "opinion fluctuations and disagreement in social networks"
    - "convergence rate analysis of distributed gossip linear parameter estimation fundamental limits and tradeoffs"
    - "gossip algorithms for distributed signal processing"
    - "order optimal consensus through randomized path averaging"
    - "fast distributed algorithms for computing separable functions"

Connected through hyperedge HE-7 (induced by source paper "opinion dynamics and wisdom under out group discrimination"):
  with members:
    - "opinion fluctuations and disagreement in social networks"
    - "rebels lead to the doctrine of the mean opinion dynamic in a heterogeneous degroot model"

Connected through hyperedge HE-8 (induced by source paper "convergence and state reconstruction of time varying multi agent systems from complete observability theory"):
  with members:
    - "how agreement and disagreement evolve over random dynamic networks"
    - "gossip algorithms for distributed signal processing"
    - "distributed parameter estimation in sensor networks nonlinear observation models and imperfect communication"

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)