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: "economic analysis of crowdsourced wireless community networks"
  Abstract: Crowdsourced wireless community networks can effectively alleviate the limited coverage issue of Wi-Fi access points (APs), by encouraging individuals (users) to share their private residential Wi-Fi APs with others. In this paper, we provide a comprehensive economic analysis for such a crowdsourced network, with the particular focus on the users’ behavior analysis and the community network operator’s pricing design. Specifically, we formulate the interactions between the network operator and users as a two-layer Stackelberg model, where the operator determining the pricing scheme in Layer I, and then users determining their Wi-Fi sharing schemes in Layer II. First, we analyze the user behavior in Layer II via a two-stage membership selection and network access game, for both small-scale networks and large-scale networks. Then, we design a partial price differentiation scheme for the operator in Layer I, which generalizes both the complete price differentiation scheme and the single pricing scheme (i.e., no price differentiation). We show that the proposed partial pricing scheme can achieve a good tradeoff between the revenue and the implementation complexity. Numerical results demonstrate that when using the partial pricing scheme with only two prices, we can increase the operator’s revenue up to 124.44 percent comparing with the single pricing scheme, and can achieve an average of 80 percent of the maximum operator revenue under the complete price differentiation scheme.

Connected through hyperedge HE-1 (induced by source paper "multi cap optimization for wireless data plans with time flexibility"):
  with members:
    - "duopoly competition for mobile data plans with time flexibility"
    - "economic viability of data trading with rollover"
    - "a novel mobile data contract design with time flexibility"
    - "exploring time flexibility in wireless data plans"
    - "on optimal two sided pricing of congested networks"
    - "an integrated spectrum and information market for green cognitive communications"
    - "the role of data cap in optimal two part network pricing"
    - "a survey of smart data pricing past proposals current plans and future trends"

Connected through hyperedge HE-2 (induced by source paper "beyond the vcg mechanism truthful reverse auctions for relay selection with high data rates high base station utility and low interference in d2d networks"):
  with members:
    - "network utility maximization based on incentive mechanism for truthful reporting of local information"
    - "distributed resource allocation in d2d enabled multi tier cellular networks an auction approach"
    - "a survey on device to device communication in cellular networks"
    - "what will 5g be"

Connected through hyperedge HE-3 (induced by source paper "hybrid pricing for mobile collaborative internet access"):
  with members:
    - "efficient and fair collaborative mobile internet access"
    - "incentive design and market evolution of mobile user provided networks"
    - "exchange of services in networks competition cooperation and fairness"
    - "price differentiation for communication networks"
    - "an axiomatic theory of fairness in network resource allocation"

Connected through hyperedge HE-4 (induced by source paper "scalable mobile crowdsensing via peer to peer data sharing"):
  with members:
    - "dynamic routing for social information sharing"
    - "an integrated spectrum and information market for green cognitive communications"
    - "providing long term participation incentive in participatory sensing"
    - "a game theoretic analysis of user behaviors in crowdsourced wireless community networks"
    - "mine gold to deliver green cognitive communications"
    - "hysim a hybrid spectrum and information market for tv white space networks"
    - "distributed time sensitive task selection in mobile crowdsensing"
    - "combining spot and futures markets a hybrid market approach to dynamic spectrum access"

Connected through hyperedge HE-5 (induced by source paper "data centric mobile crowdsensing"):
  with members:
    - "scalable mobile crowdsensing via peer to peer data sharing"
    - "two sided matching based cooperative spectrum sharing"
    - "centurion incentivizing multi requester mobile crowd sensing"
    - "dynamic routing for social information sharing"
    - "providing long term participation incentive in participatory sensing"
    - "distributed time sensitive task selection in mobile crowdsensing"
    - "combining spot and futures markets a hybrid market approach to dynamic spectrum access"
    - "motivating smartphone collaboration in data acquisition and distributed computing"

Connected through hyperedge HE-6 (induced by source paper "achieving an efficient and fair equilibrium through taxation"):
  with members:
    - "two sided matching based cooperative spectrum sharing"
    - "public wi fi monetization via advertising"
    - "efficient and fair collaborative mobile internet access"
    - "an integrated spectrum and information market for green cognitive communications"
    - "mine gold to deliver green cognitive communications"
    - "combining spot and futures markets a hybrid market approach to dynamic spectrum access"
    - "the robust price of anarchy of altruistic games"
    - "stable nash equilibria of medium access games under symmetric socially altruistic behavior"

Connected through hyperedge HE-7 (induced by source paper "public wi fi monetization via advertising"):
  with members:
    - "cooperative wi fi deployment a one to many bargaining framework"
    - "bargaining based mobile data offloading"

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)