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 "resource management in cloud networking using economic analysis and pricing models a survey"):
  Abstract: This paper presents a comprehensive literature review on applications of economic and pricing models for resource management in cloud networking. To achieve sustainable profit advantage, cost reduction, and flexibility in provisioning of cloud resources, resource management in cloud networking requires adaptive and robust designs to address many issues, e.g., resource allocation, bandwidth reservation, request allocation, and workload allocation. Economic and pricing models have received a lot of attention as they can lead to desirable performance in terms of social welfare, fairness, truthfulness, profit, user satisfaction, and resource utilization. This paper reviews applications of the economic and pricing models to develop adaptive algorithms and protocols for resource management in cloud networking. Besides, we survey a variety of incentive mechanisms using the pricing strategies in sharing resources in edge computing. In addition, we consider using pricing models in cloud-based Software Defined Wireless Networking (cloud-based SDWN). Finally, we highlight important challenges, open issues and future research directions of applying economic and pricing models to cloud networking

Includes members:
  Member "network function virtualization state of the art and research challenges":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "fronthaul constrained cloud radio access networks insights and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the capacity regions of cloud radio access networks with limited orthogonal fronthaul")
  Member "distributed cloud association in downlink multicloud radio access networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "applications of economic and pricing models for resource management in 5g wireless networks a survey")
  Member "decomposition by partial linearization parallel optimization of multi agent systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "convergent policy optimization for safe reinforcement learning")
  Member "from participatory sensing to mobile crowd sensing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "trust evaluation mechanism for user recruitment in mobile crowd sensing in the internet of things")
  Member "an auction mechanism for resource allocation in mobile cloud computing systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "hierarchical capacity provisioning for fog computing")
  Member "behavior based online incentive mechanism for crowd sensing with budget constraints":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "data collection and wireless communication in internet of things iot using economic analysis and pricing models a survey")
  Member "internet resource pricing models mechanisms and methods":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "data collection and wireless communication in internet of things iot using economic analysis and pricing models a survey")

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)