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 "incentive mechanisms for participatory sensing survey and research challenges"):
  Abstract: Participatory sensing is a powerful paradigm which takes advantage of smartphones to collect and analyze data beyond the scale of what was previously possible. Given that participatory sensing systems rely completely on the users' willingness to submit up-to-date and accurate information, it is paramount to effectively incentivize users' active and reliable participation. In this paper, we survey existing literature on incentive mechanisms for participatory sensing systems. In particular, we present a taxonomy of existing incentive mechanisms for participatory sensing systems, which are subsequently discussed in depth by comparing and contrasting different approaches. Finally, we discuss an agenda of open research challenges in incentivizing users in participatory sensing.

Includes members:
  Member "providing long term participation incentive in participatory sensing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "small profits and quick returns an incentive mechanism design for iot based crowdsourcing under continuous platform competition")
  Member "sacrm social aware crowdsourcing with reputation management in mobile sensing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "quality of information in mobile crowdsensing survey and research challenges")
  Member "optimal prizes for all pay contests in heterogeneous crowdsourcing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "simple credible and approximately optimal auctions")
  Member "the importance of being earnest in crowdsourcing systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "game theoretic design of optimal two sided rating protocols for service exchange dilemma in crowdsourcing")
  Member "motivating smartphone collaboration in data acquisition and distributed computing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a crowdsourcing framework for on device federated learning")
  Member "mining users significant driving routes with low power sensors":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "systematic classification of side channel attacks a case study for mobile devices")
  Member "fairness and social welfare in incentivizing participatory sensing":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a double auction mechanism for mobile crowd sensing with data reuse")
  Member "truthful scheduling mechanisms for powering mobile crowdsensing":
    also connected through other hyperedges:
      (none)

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)