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 "quality of information in mobile crowdsensing survey and research challenges"):
  Abstract: Smartphones have become the most pervasive devices in people's lives, and are clearly transforming the way we live and perceive technology. Today's smartphones benefit from almost ubiquitous Internet connectivity and come equipped with a plethora of inexpensive yet powerful embedded sensors, such as accelerometer, gyroscope, microphone, and camera. This unique combination has enabled revolutionary applications based on the mobile crowdsensing paradigm, such as real-time road traffic monitoring, air and noise pollution, crime control, and wildlife monitoring, just to name a few. Differently from prior sensing paradigms, humans are now the primary actors of the sensing process, since they become fundamental in retrieving reliable and up-to-date information about the event being monitored. As humans may behave unreliably or maliciously, assessing and guaranteeing Quality of Information (QoI) becomes more important than ever. In this paper, we provide a new framework for defining and enforcing the QoI in mobile crowdsensing, and analyze in depth the current state-of-the-art on the topic. We also outline novel research challenges, along with possible directions of future work.

Includes members:
  Member "centurion incentivizing multi requester mobile crowd sensing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multimedia crowdsourcing with bounded rationality a cognitive hierarchy perspective")
  Member "taskme multi task allocation in mobile crowd sensing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "crowdos a ubiquitous operating system for crowdsourcing and mobile crowd sensing")
  Member "sacrm social aware crowdsourcing with reputation management in mobile sensing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "incentive mechanisms for participatory sensing survey and research challenges")
  Member "incentive mechanisms for participatory sensing survey and research challenges":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a novel methodology for designing policies in mobile crowdsensing systems")
  Member "a survey on truth discovery":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "joint inference on truth rumor and their sources in social networks")
  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 "ear phone a context aware noise mapping using smart phones":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "first a framework for optimizing information quality in mobile crowdsensing systems")
  Member "a trust based recruitment framework for multi hop social participatory sensing":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "big data analytics using cloud and crowd")

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.CY(Computers and Society)