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 "task allocation in mobile crowd sensing state of the art and future opportunities"):
  Abstract: Mobile Crowd Sensing (MCS) is the special case of crowdsourcing, which leverages the smartphones with various embedded sensors and user's mobility to sense diverse phenomenon in a city. Task allocation is a fundamental research issue in MCS, which is crucial for the efficiency and effectiveness of MCS applications. In this article, we specifically focus on the task allocation in MCS systems. We first present the unique features of MCS allocation compared to generic crowdsourcing, and then provide a comprehensive review for diversifying problem formulation and allocation algorithms together with future research opportunities.

Includes members:
  Member "prediction based task assignment in spatial crowdsourcing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hytasker hybrid task allocation in mobile crowd sensing")
  Member "guarantees for greedy maximization of non submodular functions with applications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimal approximation for unconstrained non submodular minimization")
  Member "task assignment on multi skill oriented spatial crowdsourcing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "budget aware online task assignment in spatial crowdsourcing")
  Member "taskme multi task allocation in mobile crowd sensing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "crowdos a ubiquitous operating system for crowdsourcing and mobile crowd sensing")
  Member "reliable diversity based spatial crowdsourcing by moving workers":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "hytasker hybrid task allocation in mobile crowd sensing")
  Member "incentives for privacy tradeoff in community sensing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "budget feasible mechanism design for non monotone submodular objectives offline and online")
  Member "data for development the d4d challenge on mobile phone data":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "from megabits to cpu ticks enriching a demand trace in the age of mec")

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.HC(Human-Computer Interaction)