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: "the costs and benefits of ridesharing sequential individual rationality and sequential fairness"
  Abstract: We introduce a cost sharing framework for ridesharing that explicitly takes into account the "inconvenience costs" of passengers due to detours. We introduce the notion of "sequential" individual rationality (SIR) that requires that the "disutility" of existing passengers is non-increasing as additional passengers are picked up, and show that these constraints induce a natural limit on the incremental detours permissible as the ride progresses. We provide an exact characterization of all routes for which there exists some cost sharing scheme that is SIR on that route, and under these constraints, for realistic scenarios, we also show a $\Theta(\sqrt{n})$ upper bound and a $\Theta(\log n)$ lower bound on the total detour experienced by the passengers as a fraction of the direct distance to their destination. Next, we observe that under any budget-balanced cost sharing scheme that is SIR on a route, the total amount by which the passengers' disutilities decrease (which can be viewed as the total incremental benefit due to ridesharing) is a constant. This observation inspires a "dual" notion of viewing cost sharing schemes as benefit sharing schemes, under which we introduce a natural definition of "sequential" fairness-the total incremental benefit due to the addition of a new passenger is (partly) shared among the existing passengers in proportion to the incremental inconvenience costs they suffer. We then provide an exact characterization of sequentially fair cost sharing schemes, which brings out several useful structural properties, including a strong requirement that passengers must compensate each other for the detour inconveniences that they cause. Finally, we conclude with an extended discussion of new algorithmic problems related to and motivated by SIR, and important future work.

Connected through hyperedge HE-1 (induced by source paper "a distributed model free algorithm for multi hop ride sharing using deep reinforcement learning"):
  with members:
    - "deeppool distributed model free algorithm for ride sharing using deep reinforcement learning"
    - "movi a model free approach to dynamic fleet management"
    - "space time graph modeling of ride requests based on real world data"
    - "a decomposition algorithm to solve the multi hop peer to peer ride matching problem"

Connected through hyperedge HE-2 (induced by source paper "deeppool distributed model free algorithm for ride sharing using deep reinforcement learning"):
  with members:
    - "movi a model free approach to dynamic fleet management"
    - "space time graph modeling of ride requests based on real world data"
    - "prioritized experience replay"

Connected through hyperedge HE-3 (induced by source paper "fair cost allocation for ridesharing services modeling mathematical programming and an algorithm to find the nucleolus"):
  with members:
    - "an online mechanism for ridesharing in autonomous mobility on demand systems"

Connected through hyperedge HE-4 (induced by source paper "route cost assignment with joint user and operator behavior as a many to one stable matching assignment game"):
  with members:
    - "fair cost allocation for ridesharing services modeling mathematical programming and an algorithm to find the nucleolus"
    - "network learning via multiagent inverse transportation problems"
    - "a decomposition algorithm to solve the multi hop peer to peer ride matching problem"
    - "a stackelberg strategy for routing flow over time"

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)