human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "decentralized dynamics for finite opinion games"):
  Abstract: Game theory studies situations in which strategic players can modify the state of a given system, due to the absence of a central authority. Solution concepts, such as Nash equilibrium, are defined to predict the outcome of such situations. In multi-player settings, it has been pointed out that to be realistic, a solution concept should be obtainable via processes that are decentralized and reasonably simple. Accordingly we look at the computation of solution concepts by means of decentralized dynamics. These are algorithms in which players move in turns to improve their own utility and the hope is that the system reaches an "equilibrium" quickly. #R##N#We study these dynamics for the class of opinion games, recently introduced by Bindel et al. [Bindel et al., FOCS2011]. These are games, important in economics and sociology, that model the formation of an opinion in a social network. We study best-response dynamics and show upper and lower bounds on the convergence to Nash equilibria. We also study a noisy version of best-response dynamics, called logit dynamics, and prove a host of results about its convergence rate as the noise in the system varies. To get these results, we use a variety of techniques developed to bound the mixing time of Markov chains, including coupling, spectral characterizations and bottleneck ratio.

Includes members:
  Member "minority becomes majority in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "election manipulation on social networks seeding edge removal edge addition")
  Member "on discrete preferences and coordination":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "local aggregation in preference games")
  Member "convergence to equilibrium of logit dynamics for strategic games":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "path to stochastic stability comparative analysis of stochastic learning dynamics in games")
  Member "how bad is forming your own opinion":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "adversarial perturbations of opinion dynamics in networks")
  Member "opinion dynamics in social networks a local interaction game with stubborn agents":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "agent based opinion formation modeling in social network a perspective of social psychology")
  Member "metastability of logit dynamics for coordination games":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a risk security tradeoff in graphical coordination games")
  Member "mixing time and stationary expected social welfare of logit dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the price of anarchy and stability in general noisy best response dynamics")

Question: Please tell me which class the source paper 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)