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 "mobile internet experience urban vs rural saturation vs starving"):
  Abstract: Mobile Internet experience has been of increasing interest. Services accessed via smartphone applications shall provide satisfying Quality of Experience (QoE), irrespective of end user location, time of the day, and other circumstances. Unfortunately, current LTE networks often don't provide constant user throughput, one of the major system influence factors to mobile Internet QoE. In this paper, we conducted an exemplary measurement study in LTE networks, comparing the QoE of mobile networks in an urban and a rural region. Our results show that there are significant differences concerning the network speed which can result in unsatisfactory service quality depending on the application to be used. When evaluating the QoE for multiple users who are using the same base station in a specific area, user satisfaction decreases drastically, especially in rural areas. Our work encourages for future work to focus on this gap between the QoE in urban and rural areas.

Includes members:
  Member "does network quality matter a field study of mobile user satisfaction":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "prospect theory for human centric communications")
  Member "monroe nettest a configurable tool for dissecting speed measurements in mobile broadband networks":
    also connected through other hyperedges:
      (none)
  Member "mopeye opportunistic monitoring of per app mobile network performance":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "scalable online vetting of android apps for measuring declared sdk versions and their consistency with api calls")

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.NI(Networking and Internet Architecture)