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: "opinion dynamics in social networks a local interaction game with stubborn agents"
  Abstract: The process by which new ideas, innovations, and behaviors spread through a large social network can be thought of as a networked interaction game: Each agent obtains information from certain number of agents in his friendship neighborhood, and adapts his idea or behavior to increase his benefit. In this paper, we are interested in how opinions, about a certain topic, form in social networks. We model opinions as continuous scalars ranging from 0 to 1 with 1(0) representing extremely positive(negative) opinion. Each agent has an initial opinion and incurs some cost depending on the opinions of his neighbors, his initial opinion, and his stubbornness about his initial opinion. Agents iteratively update their opinions based on their own initial opinions and observing the opinions of their neighbors. The iterative update of an agent can be viewed as a myopic cost-minimization response (i.e., the so-called best response) to the others' actions. We study whether an equilibrium can emerge as a result of such local interactions and how such equilibrium possibly depends on the network structure, initial opinions of the agents, and the location of stubborn agents and the extent of their stubbornness. We also study the convergence speed to such equilibrium and characterize the convergence time as a function of aforementioned factors. We also discuss the implications of such results in a few well-known graphs such as Erdos-Renyi random graphs and small-world graphs.

Connected through hyperedge HE-1 (induced by source paper "agent based opinion formation modeling in social network a perspective of social psychology"):
  with members:
    - "improving detection of influential nodes in complex networks"

Connected through hyperedge HE-2 (induced by source paper "opinion dynamics with varying susceptibility to persuasion"):
  with members:
    - "minimizing polarization and disagreement in social networks"
    - "mitigating overexposure in viral marketing"
    - "opinion maximization in social networks"
    - "how bad is forming your own opinion"

Connected through hyperedge HE-3 (induced by source paper "on the structure and computation of random walk times in finite graphs"):
  with members:
    - "optimal temporal logic planning in probabilistic semantic maps"
    - "minimizing convergence error in multi agent systems via leader selection a supermodular optimization approach"
    - "large scale spectral clustering using resistance distance and spielman teng solvers"
    - "a supermodular optimization framework for leader selection under link noise in linear multi agent systems"
    - "mdp optimal control under temporal logic constraints"

Connected through hyperedge HE-4 (induced by source paper "optimal investment strategies for competing camps in a social network a broad framework"):
  with members:
    - "novel multidimensional models of opinion dynamics in social networks"
    - "opinion dynamics in social networks with hostile camps consensus vs polarization"
    - "opinion maximization in social networks"
    - "competitive contagion in networks"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

Connected through hyperedge HE-5 (induced by source paper "maximizing the smallest eigenvalue of a symmetric matrix a submodular optimization approach"):
  with members:
    - "minimizing convergence error in multi agent systems via leader selection a supermodular optimization approach"
    - "algorithms for approximate minimization of the difference between submodular functions with applications"
    - "a supermodular optimization framework for leader selection under link noise in linear multi agent systems"
    - "influence diffusion dynamics and influence maximization in social networks with friend and foe relationships"

Connected through hyperedge HE-6 (induced by source paper "the game theoretic formation of interconnections between networks"):
  with members:
    - "the strategic formation of multi layer networks"
    - "robustness and algebraic connectivity of random interdependent networks"
    - "network formation games among relay stations in next generation wireless networks"
    - "worm epidemics in wireless ad hoc networks"

Connected through hyperedge HE-7 (induced by source paper "consensus as a nash equilibrium of a dynamic game"):
  with members:
    - "game theoretic analysis of the hegselmann krause model for opinion dynamics in finite dimensions"
    - "decentralized dynamics for finite opinion games"
    - "how bad is forming your own opinion"

Connected through hyperedge HE-8 (induced by source paper "graph distances and controllability of networks"):
  with members:
    - "a tight lower bound on the controllability of networks with multiple leaders"

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.GT(Computer Science and Game Theory)