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 "long term profit maximizing incentive for crowd sensing in mobile social networks"):
  Abstract: Crowd sensing is a new paradigm that leverages pervasive sensor-equipped mobile devices to provide sensing services like forensic analysis, documenting public spaces, and collaboratively constructing statistical models. Extensive user participation is indispensable for achieving good service quality. Nowadays, most of existing mechanisms focus on guaranteeing good service quality based on instantaneous extensive user participation for crowd sensing applications. Little attention has been dedicated to maximizing long-term service quality for crowd sensing applications due to their asymmetric interests, preferences, selfish behaviors, etc. To fill these gaps, in this paper, we derive the closed expression of the marginal sensing data quality based on the monopoly aggregation in economics. Furthermore, we design marginalquality based incentive mechanisms for long-term crowd sensing applications, not only to enhance extensive user participation by maximizing the expected total profits of mobile users, but also to stimulate mobile users to produce high-quality contents by applying the marginal quality. Finally, simulation results show that our mechanisms outperform the existing solutions.

Includes members:
  Member "asymptotically optimal downlink scheduling over markovian fading channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "constrained restless bandits for dynamic scheduling in cyber physical systems")
  Member "reputation based incentive protocols in crowdsourcing applications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "prospect theory based crowdsourcing for classification in the presence of spammers")
  Member "exploiting channel memory for joint estimation and scheduling in downlink networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "low complexity optimal scheduling over time correlated fading channels with arq feedback")
  Member "perseus randomized point based value iteration for pomdps":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "mobility and blockage aware communications in millimeter wave vehicular networks")
  Member "a game theoretic framework for incentives in p2p systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "computing equilibria in binary networked public goods games")

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.SI(Social and Information Networks)