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: "anticipatory mobile computing a survey of the state of the art and research challenges"
  Abstract: Today’s mobile phones are far from the mere communication devices they were 10 years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users’ location, activity, social setting, and more. As devices become increasingly intelligent, their capabilities evolve beyond inferring context to predicting it, and then reasoning and acting upon the predicted context. This article provides an overview of the current state of the art in mobile sensing and context prediction paving the way for full-fledged anticipatory mobile computing. We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions. We then discuss proactive decision making and decision delivery via the user-device feedback loop. Finally, we discuss the challenges and opportunities of anticipatory mobile computing.

Connected through hyperedge HE-1 (induced by source paper "towards security as a service to protect the critical resources of mobile computing devices"):
  with members:
    - "context aware computing for the internet of things a survey"

Connected through hyperedge HE-2 (induced by source paper "hcfcontext smartphone context inference via sequential history based collaborative filtering"):
  with members:
    - "minimizing latency for secure distributed computing"

Connected through hyperedge HE-3 (induced by source paper "machine learning at the edge a data driven architecture with applications to 5g cellular networks"):
  with members:
    - "cellular network traces towards 5g usage analysis and generation"
    - "a survey on mobile edge computing the communication perspective"
    - "fog computing based radio access networks issues and challenges"
    - "collaborative mobile edge computing in 5g networks new paradigms scenarios and challenges"
    - "a survey of anticipatory mobile networking context based classification prediction methodologies and optimization techniques"
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"
    - "living on the edge the role of proactive caching in 5g wireless networks"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-4 (induced by source paper "a survey of attention management systems in ubiquitous computing environments"):
  with members:
    - "productive anxious lonely 24 hours without push notifications"
    - "assessment of social roles for interruption management a new concept in the field of interruptibility"
    - "smartphones in mental health detecting depressive and manic episodes"

Connected through hyperedge HE-5 (induced by source paper "sensing and modeling human behavior using social media and mobile data"):
  with members:
    - "a multilayer approach to multiplexity and link prediction in online geo social networks"
    - "investigating causality in human behavior from smartphone sensor data a quasi experimental approach"
    - "keep your friends close and your facebook friends closer a multiplex network approach to the analysis of offline and online social ties"
    - "you are what you eat and drink identifying cultural boundaries by analyzing food drink habits in foursquare"
    - "hoodsquare modeling and recommending neighborhoods in location based social networks"
    - "predicting influential users in online social networks"

Connected through hyperedge HE-6 (induced by source paper "an edge fog cloud platform for anticipatory learning process designed for internet of mobile things"):
  with members:
    - "developing an edge computing platform for real time descriptive analytics"
    - "context aware computing for the internet of things a survey"

Connected through hyperedge HE-7 (induced by source paper "towards psychometrics based friend recommendations in social networking services"):
  with members:
    - "analysis of publicly disclosed information in facebook profiles"

Connected through hyperedge HE-8 (induced by source paper "a survey of anticipatory mobile networking context based classification prediction methodologies and optimization techniques"):
  with members:
    - "context aware scheduling of joint millimeter wave and microwave resources for dual mode base stations"
    - "anticipatory radio resource management for mobile video streaming with linear programming"
    - "kernel based adaptive online reconstruction of coverage maps with side information"
    - "on characterization of feasible interference regions in cognitive radio networks"
    - "spatial wireless channel prediction under location uncertainty"
    - "a control theoretic approach to adaptive video streaming in dense wireless networks"
    - "5g cellular key enabling technologies and research challenges"
    - "context aware small cell networks how social metrics improve wireless resource allocation"

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.HC(Human-Computer Interaction)