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: "cooperative games with overlapping coalitions"
  Abstract: In the usual models of cooperative game theory, the outcome of a coalition formation process is either the grand coalition or a coalition structure that consists of disjoint coalitions. However, in many domains where coalitions are associated with tasks, an agent may be involved in executing more than one task, and thus may distribute his resources among several coalitions. To tackle such scenarios, we introduce a model for cooperative games with overlapping coalitions-or overlapping coalition formation (OCF) games. We then explore the issue of stability in this setting. In particular, we introduce a notion of the core, which generalizes the corresponding notion in the traditional (non-overlapping) scenario. Then, under some quite general conditions, we characterize the elements of the core, and show that any element of the core maximizes the social welfare. We also introduce a concept of balancedness for overlapping coalitional games, and use it to characterize coalition structures that can be extended to elements of the core. Finally, we generalize the notion of convexity to our setting, and show that under some natural assumptions convex games have a non-empty core. Moreover, we introduce two alternative notions of stability in OCF that allow a wider range of deviations, and explore the relationships among the corresponding definitions of the core, as well as the classic (non-overlapping) core and the Aubin core. We illustrate the general properties of the three cores, and also study them from a computational perspective, thus obtaining additional insights into their fundamental structure.

Connected through hyperedge HE-1 (induced by source paper "dynamic network slicing for scalable fog computing systems with energy harvesting"):
  with members:
    - "distributed optimization for energy efficient fog computing in the tactile internet"
    - "computing resource allocation in three tier iot fog networks a joint optimization approach combining stackelberg game and matching"
    - "sdfog a software defined computing architecture for qos aware service orchestration over edge devices"
    - "response time optimized distributed cloud resource allocation"
    - "fog computing principles architectures and applications"
    - "from network sharing to multi tenancy the 5g network slice broker"
    - "network slicing games enabling customization in multi tenant networks"
    - "spatial spectrum and energy efficiency of random cellular networks"

Connected through hyperedge HE-2 (induced by source paper "distributed resource allocation for network slicing over licensed and unlicensed bands"):
  with members:
    - "network slicing games enabling customization in multi tenant networks"
    - "coordination protocol for inter operator spectrum sharing in co primary 5g small cell networks"
    - "sharing of unlicensed spectrum by strategic operators"
    - "joint energy and spectrum cooperation for cellular communication systems"
    - "investment and pricing with spectrum uncertainty a cognitive operator s perspective"

Connected through hyperedge HE-3 (induced by source paper "a coalition based communication framework for intelligent flying ad hoc networks"):
  with members:
    - "self organizing relay selection in uav communication networks a matching game perspective"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-4 (induced by source paper "overlapping coalition formation via probabilistic topic modeling"):
  with members:
    - "learning cooperative games"

Connected through hyperedge HE-5 (induced by source paper "collaborative smartphone sensing using overlapping coalition formation games"):
  with members:
    - "a layered coalitional game framework of wireless relay network"
    - "coalitional games with overlapping coalitions for interference management in small cell networks"
    - "coalition formation games for collaborative spectrum sensing"
    - "coalitional game theory for communication networks a tutorial"
    - "a generic approach to coalition formation"

Connected through hyperedge HE-6 (induced by source paper "shapley values in weighted voting games with random weights"):
  with members:
    - "the inverse shapley value problem"

Connected through hyperedge HE-7 (induced by source paper "bayesian reinforcement learning a survey"):
  with members:
    - "benchmarking for bayesian reinforcement learning"
    - "on the prior sensitivity of thompson sampling"
    - "an information theoretic analysis of thompson sampling"
    - "learning to optimize via posterior sampling"
    - "a greedy approximation of bayesian reinforcement learning with probably optimistic transition model"
    - "model based bayesian exploration"
    - "further optimal regret bounds for thompson sampling"
    - "model based bayesian reinforcement learning in large structured domains"

Connected through hyperedge HE-8 (induced by source paper "computing stable coalitions approximation algorithms for reward sharing"):
  with members:
    - "coalition games on interaction graphs a horticultural perspective"
    - "on the complexity of computing an equilibrium in combinatorial auctions"
    - "on discrete preferences and coordination"
    - "simultaneous auctions are almost efficient"
    - "strategic cooperation in cost sharing games"
    - "price of anarchy for greedy auctions"
    - "the cost of stability in coalitional games"
    - "combinatorial auctions with decreasing marginal utilities"

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)