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: "age of information in g g 1 1 systems age expressions bounds special cases and optimization"
  Abstract: We consider the age of information in G/G/1/1 systems under two service discipline models. In the first model, if a new update arrives when the service is busy, it is blocked; in the second model, a new update preempts the current update in service. For the blocking model, we first derive an exact age expression, then we propose two simple to calculate upper bounds for the average age. The first upper bound assumes the interarrival times to have log-concave distribution. The second upper bound assumes both the interarrivals and service times to have log-concave distribution. Both upper bounds are tight in the case of M/M/1/1 systems. We show that deterministic interarrivals and service times are optimum for the blocking service model. In addition, using the age expression for G/G/1/1 systems, we calculate average age expressions for special cases, i.e., M/G/1/1 and G/M/1/1 systems. Next, for the preemption in service model, we first derive an exact average age expression for G/G/1/1 systems. Then, we propose a simple to calculate upper bound for the average age. In addition, similar to blocking discipline, using the age expression for G/G/1/1 systems, we calculate average age expressions for special cases, i.e., M/G/1/1 and G/M/1/1 systems. Average age for G/M/1/1 can be written as a summation of two terms, the first of which depends only on the first and second moments of interarrival times and the second of which depends only on the service rate. In other words, interarrival and service times are decoupled. We show that deterministic interarrivals are optimum for G/M/1/1 systems. On the other hand, we observe for non-exponential service times that the optimal distribution of interarrival times depends on the relative values of the mean interarrival time and the mean service time.

Connected through hyperedge HE-1 (induced by source paper "who should google scholar update more often"):
  with members:
    - "optimal selective encoding for timely updates"
    - "trading off computation with transmission in status update systems"
    - "average peak age of information minimization in uav assisted iot networks"
    - "a reinforcement learning framework for optimizing age of information in rf powered communication systems"
    - "age of information aware cache updating with file and age dependent update durations"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "timely distributed computation with stragglers"
    - "age of information in multicast networks with multiple update streams"

Connected through hyperedge HE-2 (induced by source paper "optimal selective encoding for timely updates"):
  with members:
    - "trading off computation with transmission in status update systems"
    - "on timely channel coding with hybrid arq"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "timely distributed computation with stragglers"
    - "age of information in multicast networks with multiple update streams"
    - "age of information for updates with distortion"
    - "using erasure feedback for online timely updating with an energy harvesting sensor"
    - "age of information with finite horizon and partial updates"

Connected through hyperedge HE-3 (induced by source paper "age of information with gilbert elliot servers and samplers"):
  with members:
    - "partial updates losing information for freshness"
    - "optimal selective encoding for timely updates"
    - "who should google scholar update more often"
    - "age of information with prioritized streams when to buffer preempted packets"
    - "age of information for discrete time queues"
    - "on timely channel coding with hybrid arq"
    - "timely distributed computation with stragglers"
    - "age of information in multicast networks with multiple update streams"

Connected through hyperedge HE-4 (induced by source paper "non linear age of information in a discrete time queue stationary distribution and average performance analysis"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "sampling for remote estimation through queues age of information and beyond"
    - "age of information for discrete time queues"
    - "on the distribution of aoi for the gi gi 1 1 and gi gi 1 2 systems exact expressions and bounds"
    - "the distribution of age of information performance measures for message processing systems"
    - "age of information in a network of preemptive servers"
    - "the age of information in networks moments distributions and sampling"
    - "information aging through queues a mutual information perspective"

Connected through hyperedge HE-5 (induced by source paper "on the minimum achievable age of information for general service time distributions"):
  with members:
    - "on peak age of information in data preprocessing enabled iot networks"
    - "timely cloud computing preemption and waiting"
    - "status updates in a multi stream m g 1 1 preemptive queue"
    - "controlling packet drops to improve freshness of information"
    - "status updates through m g 1 1 queues with harq"
    - "age optimal information updates in multihop networks"
    - "update or wait how to keep your data fresh"
    - "age of information the gamma awakening"

Connected through hyperedge HE-6 (induced by source paper "closed form whittle s index enabled random access for timely status update"):
  with members:
    - "age of information scaling in large networks with hierarchical cooperation"
    - "using erasure feedback for online timely updating with an energy harvesting sensor"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "information aging through queues a mutual information perspective"
    - "delay performance of multi antenna multicasting in wireless networks"
    - "towards massive connectivity support for scalable mmtc communications in 5g networks"
    - "age optimal sampling and transmission scheduling in multi source systems"
    - "age of information in multihop multicast networks"

Connected through hyperedge HE-7 (induced by source paper "statistical guarantee optimization for aoi in single hop and two hop systems with periodic arrivals"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "optimal status updating with a finite battery energy harvesting source"
    - "on the distribution of aoi for the gi gi 1 1 and gi gi 1 2 systems exact expressions and bounds"
    - "status updates through m g 1 1 queues with harq"
    - "age optimal information updates in multihop networks"
    - "update or wait how to keep your data fresh"
    - "age of information in the presence of error"
    - "age of information the gamma awakening"

Connected through hyperedge HE-8 (induced by source paper "the cost of delay in status updates and their value non linear ageing"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "age of information in multicast networks with multiple update streams"
    - "control of status updates for energy harvesting devices that monitor processes with alarms"
    - "age of information in a network of preemptive servers"
    - "age optimal updates of multiple information flows"
    - "the age of information in networks moments distributions and sampling"
    - "information aging through queues a mutual information perspective"
    - "sampling for data freshness optimization non linear age functions"

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)