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: "logit dynamics with concurrent updates for local interaction games"
  Abstract: Logit choice dynamics are a family of randomized best response dynamics based on the logit choice function [McFadden, 1974], used for modeling players with limited rationality and knowledge. In this paper we study the all-logit dynamics, where at each time step all players concurrently update their strategies according to the logit choice function. In the well studied one-logit dynamics [Blume, 1993] instead at each step only one randomly chosen player is allowed to update. #R##N#We study properties of the all-logit dynamics in the context of local interaction games, a class of games that has been used to model complex social phenomena and physical systems. In a local interaction game, players are the vertices of a social graph whose edges are two-player potential games. Each player picks one strategy to be played for all the games she is involved in and the payoff of the player is the sum of the payoffs from each of the games. We prove that local interaction games characterize the class of games for which the all-logit dynamics is reversible. #R##N#We then compare the stationary behavior of one-logit and all-logit dynamics. Specifically, we look at the expected value of a notable class of observables, that we call decomposable observables. We prove that the difference between the expected values of the observables at stationarity for the two dynamics depends only on the rationality level beta and on the distance of the social graph from a bipartite graph. In particular, if the social graph is bipartite then decomposable observables have the same expected value. Finally, we show that the mixing time of the all-logit dynamics has the same twofold behavior that has been highlighted in the case of the one-logit: for some games it exponentially depends on the rationality level beta, whereas for other games it can be upper bounded by a function independent from beta.

Connected through hyperedge HE-1 (induced by source paper "stochastic stability in schelling s segregation model with markovian asynchronous update"):
  with members:
    - "an analysis of one dimensional schelling segregation"
    - "adversarial scheduling analysis of game theoretic models of norm diffusion"

Connected through hyperedge HE-2 (induced by source paper "independent lazy better response dynamics on network games"):
  with members:
    - "the price of anarchy and stability in general noisy best response dynamics"
    - "graphical models for game theory"
    - "decentralized dynamics for finite opinion games"
    - "imperfect best response mechanisms"
    - "on the impact of fair best response dynamics"

Connected through hyperedge HE-3 (induced by source paper "the price of anarchy and stability in general noisy best response dynamics"):
  with members:
    - "multicast network design game on a ring"
    - "tighter bounds on the inefficiency ratio of stable equilibria in load balancing games"
    - "on the impact of fair best response dynamics"
    - "mixing time and stationary expected social welfare of logit dynamics"
    - "on the performance of approximate equilibria in congestion games"
    - "concurrent imitation dynamics in congestion games"

Connected through hyperedge HE-4 (induced by source paper "price competition fluctuations and welfare guarantees"):
  with members:
    - "price competition in online combinatorial markets"
    - "convergence to equilibrium of logit dynamics for strategic games"
    - "composable and efficient mechanisms"
    - "metastability of potential games"
    - "metastability of logit dynamics for coordination games"
    - "mixing time and stationary expected social welfare of logit dynamics"

Connected through hyperedge HE-5 (induced by source paper "convergence to equilibrium of logit dynamics for strategic games"):
  with members:
    - "metastability of logit dynamics for coordination games"
    - "mixing time and stationary expected social welfare of logit dynamics"
    - "concurrent imitation dynamics in congestion games"

Connected through hyperedge HE-6 (induced by source paper "imperfect best response mechanisms"):
  with members:
    - "convergence to equilibrium of logit dynamics for strategic games"
    - "mixing time and stationary expected social welfare of logit dynamics"

Connected through hyperedge HE-7 (induced by source paper "metastability of logit dynamics for coordination games"):
  with members:
    - "convergence to equilibrium of logit dynamics for strategic games"
    - "metastability of asymptotically well behaved potential games"
    - "mixing time and stationary expected social welfare of logit dynamics"
    - "settling the complexity of computing two player nash equilibria"

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)