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 "the impact of worst case deviations in non atomic network routing games"):
  Abstract: We introduce a unifying model to study the impact of worst-case latency deviations in non-atomic selfish routing games. In our model, latencies are subject to (bounded) deviations which are taken into account by the players. The quality deterioration caused by such deviations is assessed by the $\textit{Deviation Ratio}$, i.e., the worst-case ratio of the cost of a Nash flow with respect to deviated latencies and the cost of a Nash flow with respect to the unaltered latencies. This notion is inspired by the $\textit{Price of Risk Aversion}$ recently studied by Nikolova and Stier-Moses. Here we generalize their model and results. In particular, we derive tight bounds on the Deviation Ratio for multi-commodity instances with a common source and arbitrary non-negative and non-decreasing latency functions. These bounds exhibit a linear dependency on the size of the network (besides other parameters). In contrast, we show that for general multi-commodity networks an exponential dependency is inevitable. We also improve recent smoothness results to bound the Price of Risk Aversion.

Includes members:
  Member "path deviations outperform approximate stability in heterogeneous congestion games":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "can taxes improve congestion on all networks")
  Member "asymptotically tight bounds for inefficiency in risk averse selfish routing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "can taxes improve congestion on all networks")
  Member "the burden of risk aversion in mean risk selfish routing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the price of satisficing in network user equilibria")
  Member "congestion games with distance based strict uncertainty":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "distance based equilibria in normal form games")
  Member "playing the wrong game smoothness bounds for congestion games with behavioral biases":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "can taxes improve congestion on all networks")
  Member "on the performance of approximate equilibria in congestion games":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "existence and complexity of approximate equilibria in weighted congestion games")

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)