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: "from pointwise convergence of evolutionary dynamics to average case analysis of decentralized algorithms"
  Abstract: Nash's proof of equilibrium existence has offered a tool of seminal importance to economic theory, however, a remaining, nagging hurdle is the possibility of multiple equilibria, perhaps with quite different properties. A wide range of approaches has been employed in an effort to reduce the study of games down to analyzing a single behavioral point (e.g., best or worst equilibria with respect to social welfare). We move away from the search of a single, correct solution concept. We propose a quantitative framework where the predictions of different equilibria are weighted by their probability to arise under evolutionary dynamics given random initial conditions. This average case analysis is shown to offer the possibility of significantly tighter understanding of classic game theoretic settings, including quantifying the risk dominance of payoff dominated equilibria in stag-hunt games and reducing prediction uncertainty due to large gaps between price of stability and price of anarchy in coordination and congestion games. This approach rests upon new deep topological results about evolutionary dynamics, including point-wise convergence results for replicator dynamics in linear congestion games and explicit computation of stable and unstable manifolds of equilibrium fixed points in asymmetric games. We conclude by introducing a concurrent convergent deterministic discrete-time dynamic for general linear congestion games and performing stability analysis on it.

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)