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: "fog data enhancing telehealth big data through fog computing"
  Abstract: The size of multi-modal, heterogeneous data collected through various sensors is growing exponentially. It demands intelligent data reduction, data mining and analytics at edge devices. Data compression can reduce the network bandwidth and transmission power consumed by edge devices. This paper proposes, validates and evaluates Fog Data, a service-oriented architecture for Fog computing. The center piece of the proposed architecture is a low power embedded computer that carries out data mining and data analytics on raw data collected from various wearable sensors used for telehealth applications. The embedded computer collects the sensed data as time series, analyzes it, and finds similar patterns present. Patterns are stored, and unique patterns are transmited. Also, the embedded computer extracts clinically relevant information that is sent to the cloud. A working prototype of the proposed architecture was built and used to carry out case studies on telehealth big data applications. Specifically, our case studies used the data from the sensors worn by patients with either speech motor disorders or cardiovascular problems. We implemented and evaluated both generic and application specific data mining techniques to show orders of magnitude data reduction and hence transmission power savings. Quantitative evaluations were conducted for comparing various data mining techniques and standard data compression techniques. The obtained results showed substantial improvement in system efficiency using the Fog Data architecture.

Connected through hyperedge HE-1 (induced by source paper "a survey on edge computing systems and tools"):
  with members:
    - "openei an open framework for edge intelligence"
    - "pcamp performance comparison of machine learning packages on the edges"
    - "a survey of fpga based deep learning accelerators challenges and opportunities"
    - "a survey on mobile edge computing the communication perspective"
    - "distributed deep neural networks over the cloud the edge and end devices"
    - "tensorflow a system for large scale machine learning"
    - "mxnet a flexible and efficient machine learning library for heterogeneous distributed systems"
    - "nfv state of the art challenges and implementation in next generation mobile networks vepc"

Connected through hyperedge HE-2 (induced by source paper "a systemic iot fog cloud architecture for big data analytics and cyber security systems a review of fog computing"):
  with members:
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "fog computing principles architectures and applications"

Connected through hyperedge HE-3 (induced by source paper "a survey of fog computing and communication current researches and future directions"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "coding for distributed fog computing"
    - "the fog makes sense enabling social sensing services with limited internet connectivity"
    - "wireless caching technical misconceptions and business barriers"
    - "ifogsim a toolkit for modeling and simulation of resource management techniques in internet of things edge and fog computing environments"
    - "fog computing based radio access networks issues and challenges"
    - "the price of fog a data driven study on caching architectures in vehicular networks"

Connected through hyperedge HE-4 (induced by source paper "fog computing survey of trends architectures requirements and research directions"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "fog assisted wiot a smart fog gateway for end to end analytics in wearable internet of things"
    - "fog computing for sustainable smart cities a survey"
    - "demystifying fog computing characterizing architectures applications and abstractions"
    - "fog computing principles architectures and applications"
    - "big data computing and clouds"

Connected through hyperedge HE-5 (induced by source paper "fog computing for sustainable smart cities a survey"):
  with members:
    - "fog networking an overview on research opportunities"
    - "a survey of systems for massive stream analytics"
    - "cloudrone micro clouds in the sky"
    - "applying seamful design in location based mobile museum applications"
    - "energy efficient location and activity aware on demand mobile distributed sensing platform for sensing as a service in iot clouds"
    - "big data privacy in the internet of things era"
    - "the emerging internet of things marketplace from an industrial perspective a survey"
    - "a survey on internet of things from industrial market perspective"

Connected through hyperedge HE-6 (induced by source paper "a comprehensive survey on fog computing state of the art and research challenges"):
  with members:
    - "coding for distributed fog computing"
    - "realizing the tactile internet haptic communications over next generation 5g cellular networks"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "fog computing based radio access networks issues and challenges"
    - "fit a fog computing device for speech teletreatments"
    - "backhaul traffic balancing and dynamic content centric clustering for the downlink of fog radio access network"
    - "analysis of an offloading scheme for data centers in the framework of fog computing"
    - "the emerging internet of things marketplace from an industrial perspective a survey"

Connected through hyperedge HE-7 (induced by source paper "smart fog fog computing framework for unsupervised clustering analytics in wearable internet of things"):
  with members:
    - "fog assisted wiot a smart fog gateway for end to end analytics in wearable internet of things"
    - "fog computing in medical internet of things architecture implementation and applications"
    - "bigear inferring the ambient and emotional correlates from smartphone based acoustic big data"
    - "harmonic sum based method for heart rate estimation using ppg signals affected with motion artifacts"
    - "fit a fog computing device for speech teletreatments"
    - "echowear smartwatch technology for voice and speech treatments of patients with parkinson s disease"
    - "a multi smartwatch system for assessing speech characteristics of people with dysarthria in group settings"

Connected through hyperedge HE-8 (induced by source paper "fog computing in medical internet of things architecture implementation and applications"):
  with members:
    - "fog assisted wiot a smart fog gateway for end to end analytics in wearable internet of things"
    - "bigear inferring the ambient and emotional correlates from smartphone based acoustic big data"
    - "harmonic sum based method for heart rate estimation using ppg signals affected with motion artifacts"
    - "foggis fog computing for geospatial big data analytics"
    - "fit a fog computing device for speech teletreatments"
    - "echowear smartwatch technology for voice and speech treatments of patients with parkinson s disease"
    - "a multi smartwatch system for assessing speech characteristics of people with dysarthria in group settings"

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)