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: "on the age of information in multi source queueing models"
  Abstract: Freshness of status update packets is essential for enabling services where a destination needs the most recent measurements of various sensors. In this paper, we study the information freshness of single-server multi-source queueing models under a first-come first-served (FCFS) serving policy. In the considered model, each source independently generates status update packets according to a Poisson process. The information freshness of the status updates of each source is evaluated by the average age of information (AoI). We derive an exact expression for the average AoI for the case with exponentially distributed service time, i.e., for a multi-source M/M/1 queueing model. Moreover, we derive an approximate expression for the average AoI for a multi-source M/G/1 queueing model having a general service time distribution. Simulation results are provided to validate the derived exact average AoI expression, to assess the tightness of the proposed approximation, and to demonstrate the AoI behavior for different system parameters.

Connected through hyperedge HE-1 (induced by source paper "timely updates by multiple sources the m m 1 queue revisited"):
  with members:
    - "average age of information for a multi source m m 1 queueing model with packet management"
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "age optimal updates of multiple information flows"
    - "the age of information in networks moments distributions and sampling"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "to skip or to switch minimizing age of information under link capacity constraint"
    - "coded status updates in an energy harvesting erasure channel"
    - "distributed scheduling algorithms for optimizing information freshness in wireless networks"

Connected through hyperedge HE-2 (induced by source paper "average age of information for a multi source m m 1 queueing model with packet management"):
  with members:
    - "power minimization in wireless sensor networks with constrained aoi using stochastic optimization"
    - "minimizing the age of information in a csma environment"
    - "status updates in a multi stream m g 1 1 preemptive queue"
    - "age of information the gamma awakening"
    - "the age of information real time status updating by multiple sources"
    - "on the age of information in status update systems with packet management"

Connected through hyperedge HE-3 (induced by source paper "power minimization in wireless sensor networks with constrained aoi using stochastic optimization"):
  with members:
    - "optimal control of status updates in a multiple access channel with stability constraints"
    - "scheduling status updates to minimize age of information with an energy harvesting sensor"
    - "optimal status update for age of information minimization with an energy harvesting source"
    - "the age of information real time status updating by multiple sources"

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.IT(Information Theory)