human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "mining users significant driving routes with low power sensors"
  Abstract: While there is significant work on sensing and recognition of significant places for users, little attention has been given to users' significant routes. Recognizing these routine journeys, opens doors to the development of novel applications, like personalized travel alerts, and enhancement of user's travel experience. However, the high energy consumption of traditional location sensing technologies, such as GPS or WiFi based localization, is a barrier to passive and ubiquitous route sensing through smartphones. #R##N#In this paper, we present a passive route sensing framework that continuously monitors a vehicle user solely through a phone's gyroscope and accelerometer. This approach can differentiate and recognize various routes taken by the user by time warping angular speeds experienced by the phone while in transit and is independent of phone orientation and location within the vehicle, small detours and traffic conditions. We compare the route learning and recognition capabilities of this approach with GPS trajectory analysis and show that it achieves similar performance. Moreover, with an embedded co-processor, common to most new generation phones, it achieves energy savings of an order of magnitude over the GPS sensor.

Connected through hyperedge HE-1 (induced by source paper "systematic classification of side channel attacks a case study for mobile devices"):
  with members:
    - "stealing pins via mobile sensors actual risk versus user perception"
    - "no free charge theorem a covert channel via usb charging cable on mobile devices"
    - "touchsignatures identification of user touch actions and pins based on mobile sensor data via javascript"
    - "the bumpy road towards iphone 5c nand mirroring"
    - "armageddon cache attacks on mobile devices"
    - "high precision fault injections on the instruction cache of armv7 m architectures"
    - "rowhammer js a remote software induced fault attack in javascript"
    - "a study on power side channels on mobile devices"

Connected through hyperedge HE-2 (induced by source paper "incentme effective mechanism design to stimulate crowdsensing participants with uncertain mobility"):
  with members:
    - "securing the internet of things in the age of machine learning and software defined networking"
    - "quality of information in mobile crowdsensing survey and research challenges"
    - "taskme multi task allocation in mobile crowd sensing"
    - "incentive mechanisms for participatory sensing survey and research challenges"
    - "on the approximability of budget feasible mechanisms"
    - "budget feasible mechanisms"

Connected through hyperedge HE-3 (induced by source paper "mitigating location privacy attacks on mobile devices using dynamic app sandboxing"):
  with members:
    - "pinme tracking a smartphone user around the world"
    - "back to the drawing board revisiting the design of optimal location privacy preserving mechanisms"
    - "optimal geo indistinguishable mechanisms for location privacy"
    - "geo indistinguishability differential privacy for location based systems"

Connected through hyperedge HE-4 (induced by source paper "quality of information in mobile crowdsensing survey and research challenges"):
  with members:
    - "centurion incentivizing multi requester mobile crowd sensing"
    - "taskme multi task allocation in mobile crowd sensing"
    - "sacrm social aware crowdsourcing with reputation management in mobile sensing"
    - "incentive mechanisms for participatory sensing survey and research challenges"
    - "a survey on truth discovery"
    - "ear phone a context aware noise mapping using smart phones"
    - "a trust based recruitment framework for multi hop social participatory sensing"
    - "a bayesian approach to discovering truth from conflicting sources for data integration"

Connected through hyperedge HE-5 (induced by source paper "stash securing transparent authentication schemes using prover side proximity verification"):
  with members:
    - "contextual proximity detection in the face of context manipulating adversaries"
    - "sound proof usable two factor authentication based on ambient sound"

Connected through hyperedge HE-6 (induced by source paper "incentive mechanisms for participatory sensing survey and research challenges"):
  with members:
    - "providing long term participation incentive in participatory sensing"
    - "sacrm social aware crowdsourcing with reputation management in mobile sensing"
    - "optimal prizes for all pay contests in heterogeneous crowdsourcing"
    - "the importance of being earnest in crowdsourcing systems"
    - "motivating smartphone collaboration in data acquisition and distributed computing"
    - "fairness and social welfare in incentivizing participatory sensing"
    - "truthful scheduling mechanisms for powering mobile crowdsensing"
    - "mechanism design for time critical and cost critical task execution via crowdsourcing"

Connected through hyperedge HE-7 (induced by source paper "inferring unusual crowd events from mobile phone call detail records"):
  with members:
    - "the call of the crowd event participation in location based social services"
    - "discovery of convoys in trajectory databases"

Question: Please tell me which class the center node 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)