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: "data for development the d4d challenge on mobile phone data"
  Abstract: The Orange \Data for Development" (D4D) challenge is an open data challenge on anonymous call patterns of Orange's mobile phone users in Ivory Coast. The goal of the challenge is to help address society development questions in novel ways by contributing to the socio-economic development and well-being of the Ivory Coast population. Participants to the challenge are given access to four mobile phone datasets and the purpose of this paper is to describe the four datasets. The website http://www.d4d.orange.com contains more information about the participation rules. The datasets are based on anonymized Call Detail Records (CDR) of phone calls and SMS exchanges between

Connected through hyperedge HE-1 (induced by source paper "from megabits to cpu ticks enriching a demand trace in the age of mec"):
  with members:
    - "cellular network traces towards 5g usage analysis and generation"
    - "the price of fog a data driven study on caching architectures in vehicular networks"
    - "a sharing and competition aware framework for cellular network evolution planning"
    - "joint optimization of radio and computational resources for multicell mobile edge computing"
    - "efficient multi user computation offloading for mobile edge cloud computing"
    - "living on the edge the role of proactive caching in 5g wireless networks"

Connected through hyperedge HE-2 (induced by source paper "privacy in trajectory micro data publishing a survey"):
  with members:
    - "towards matching user mobility traces in large scale datasets"
    - "trajectory recovery from ash user privacy is not preserved in aggregated mobility data"
    - "privtree a differentially private algorithm for hierarchical decompositions"
    - "where you are is who you are user identification by matching statistics"
    - "spatio temporal techniques for user identification by means of gps mobility data"
    - "tracking human mobility using wifi signals"
    - "principled evaluation of differentially private algorithms using dpbench"
    - "protecting locations with differential privacy under temporal correlations"

Connected through hyperedge HE-3 (induced by source paper "the tradeoff between the utility and risk of location data and implications for public good"):
  with members:
    - "mapping the privacy utility tradeoff in mobile phone data for development"
    - "trajectory recovery from ash user privacy is not preserved in aggregated mobility data"
    - "estimating individual employment status using mobile phone network data"
    - "on the anonymizability of mobile traffic datasets"

Connected through hyperedge HE-4 (induced by source paper "task allocation in mobile crowd sensing state of the art and future opportunities"):
  with members:
    - "prediction based task assignment in spatial crowdsourcing"
    - "guarantees for greedy maximization of non submodular functions with applications"
    - "task assignment on multi skill oriented spatial crowdsourcing"
    - "taskme multi task allocation in mobile crowd sensing"
    - "reliable diversity based spatial crowdsourcing by moving workers"
    - "incentives for privacy tradeoff in community sensing"

Connected through hyperedge HE-5 (induced by source paper "hytasker hybrid task allocation in mobile crowd sensing"):
  with members:
    - "task allocation in mobile crowd sensing state of the art and future opportunities"
    - "quality of information in mobile crowdsensing survey and research challenges"
    - "prediction based task assignment in spatial crowdsourcing"
    - "taskme multi task allocation in mobile crowd sensing"
    - "reliable diversity based spatial crowdsourcing by moving workers"
    - "lazier than lazy greedy"

Connected through hyperedge HE-6 (induced by source paper "data for refugees the d4r challenge on mobility of syrian refugees in turkey"):
  with members:
    - "d4d senegal the second mobile phone data for development challenge"

Connected through hyperedge HE-7 (induced by source paper "an overview and comparative analysis of recurrent neural networks for short term load forecasting"):
  with members:
    - "lstm a search space odyssey"
    - "temporal overdrive recurrent neural network"
    - "show and tell lessons learned from the 2015 mscoco image captioning challenge"
    - "multiplex visibility graphs to investigate recurrent neural network dynamics"
    - "identifying user habits through data mining on call data records"
    - "wavenet a generative model for raw audio"
    - "architectural complexity measures of recurrent neural networks"
    - "deep residual learning for image recognition"

Connected through hyperedge HE-8 (induced by source paper "multiplex visibility graphs to investigate recurrent neural network dynamics"):
  with members:
    - "architectural complexity measures of recurrent neural networks"
    - "distributed sequence memory of multidimensional inputs in recurrent networks"
    - "deep learning in neural networks"
    - "input anticipating critical reservoirs show power law forgetting of unexpected input events"

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)