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: "applications of economic and pricing models for wireless network security a survey"
  Abstract: This paper provides a comprehensive literature review on applications of economic and pricing theory to security issues in wireless networks. Unlike wireline networks, the broadcast nature and the highly dynamic change of network environments pose a number of nontrivial challenges to security design in wireless networks. While the security issues have not been completely solved by traditional or system-based solutions, economic and pricing models recently were employed as one efficient solution to discourage attackers and prevent attacks to be performed. In this paper, we review economic and pricing approaches proposed to address major security issues in wireless networks including eavesdropping attack, Denial-of-Service (DoS) attack such as jamming and Distributed DoS (DDoS), and illegitimate behaviors of malicious users. Additionally, we discuss integrating economic and pricing models with cryptography methods to reduce information privacy leakage as well as to guarantee the confidentiality and integrity of information in wireless networks. Finally, we highlight important challenges, open issues and future research directions of applying economic and pricing models to wireless security issues.

Connected through hyperedge HE-1 (induced by source paper "network utility maximization based on incentive mechanism for truthful reporting of local information"):
  with members:
    - "joint scheduling and transmission power control in wireless ad hoc networks"
    - "distributed and fair beaconing rate adaptation for congestion control in vehicular networks"
    - "energy aware traffic offloading for green heterogeneous networks"
    - "propagation path loss models for 5g urban micro and macro cellular scenarios"
    - "context aware small cell networks how social metrics improve wireless resource allocation"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "distributed constrained optimization by consensus based primal dual perturbation method"
    - "energy efficiency and spectral efficiency tradeoff in device to device d2d communications"

Connected through hyperedge HE-2 (induced by source paper "wireless network slicing generalized kelly mechanism based resource allocation"):
  with members:
    - "common throughput maximization in uav enabled ofdma systems with delay consideration"
    - "network slicing for 5g with sdn nfv concepts architectures and challenges"
    - "virtualization of 5g cellular networks as a hierarchical combinatorial auction"
    - "a dynamic embedding algorithm for wireless network virtualization"
    - "composable and efficient mechanisms"
    - "computationally feasible vcg mechanisms"

Connected through hyperedge HE-3 (induced by source paper "applications of economic and pricing models for resource management in 5g wireless networks a survey"):
  with members:
    - "an auction approach to spectrum management in hetnets"
    - "user association in massive mimo hetnets"
    - "caching incentive design in wireless d2d networks a stackelberg game approach"
    - "breaking the economic barrier of caching in cellular networks incentives and contracts"
    - "distributed optimization of hierarchical small cell networks a gnep framework"
    - "spectrum and infrastructure sharing in millimeter wave cellular networks an economic perspective"
    - "caching as a service small cell caching mechanism design for service providers"
    - "user association in 5g networks a survey and an outlook"

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)