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 "dynamic pricing for revenue maximization in mobile social data market with network effects"):
  Abstract: Mobile data demand is increasing tremendously in wireless social networks, and thus an efficient pricing scheme for social-enabled services is urgently needed. Though static pricing is dominant in the actual data market, price intuitively ought to be dynamically changed to yield greater revenue. The critical question is how to design the optimal dynamic pricing scheme, with prospects for maximizing the expected long-term revenue. In this paper, we study the sequential dynamic pricing scheme of a monopoly mobile network operator in the social data market. In the market, the operator, i.e., the seller, individually offers each mobile user, i.e., the buyer, a certain price in multiple time periods dynamically and repeatedly. The proposed scheme exploits the network effects in the mobile users' behaviors that boost the social data demand. Furthermore, due to limited radio resource, the impact of wireless network congestion is taken into account in the pricing scheme. Thereafter, we propose a modified sequential pricing policy in order to ensure social fairness among mobile users in terms of their individual utilities. We analytically demonstrate that the proposed sequential dynamic pricing scheme can help the operator gain greater revenue and mobile users achieve higher total utilities than those of the baseline static pricing scheme. To gain more insights, we further study a simultaneous dynamic pricing scheme in which the operator determines the pricing strategy at the beginning of each time period. Mobile users decide on their individual data demand in each time period simultaneously, considering the network effects in the social domain and the congestion effects in the network domain. We construct the social graph using Erd\H{o}s-R\'enyi (ER) model and the real dataset based social network for performance evaluation.

Includes members:
  Member "mobile data trading behavioral economics analysis and algorithm design":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a crowdsourcing framework for on device federated learning")
  Member "a socially aware incentive mechanism for mobile crowdsensing service market":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a novel methodology for designing policies in mobile crowdsensing systems")
  Member "competition and cooperation analysis for data sponsored market a network effects model":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "game theoretic analysis for joint sponsored and edge caching content service market")
  Member "exploiting social tie structure for cooperative wireless networking a social group utility maximization framework":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "spatial influence aware reinforcement learning for intelligent transportation system")
  Member "price discrimination for energy trading in smart grid a game theoretic approach":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "peer to peer trading in electricity networks an overview")
  Member "time and location aware mobile data pricing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "duopoly competition for mobile data plans with time flexibility")
  Member "a survey of smart data pricing past proposals current plans and future trends":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "backhaul aware optimization of uav base station location and bandwidth allocation for profit maximization")
  Member "optimal pricing in networks with externalities":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "pricing in resource allocation games based on lagrangean duality and convexification")

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)