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: "information aging through queues a mutual information perspective"
  Abstract: In this paper, we propose a new measure for the freshness of information, which uses the mutual information between the real-time source value and the delivered samples at the receiver to quantify the freshness of the information contained in the delivered samples. Hence, the "aging" of the received information can be interpreted as a procedure that the above mutual information reduces as the age grows. In addition, we consider a sampling problem, where samples of a Markov source are taken and sent through a queue to the receiver. In order to optimize the freshness of information, we study the optimal sampling policy that maximizes the time-average expected mutual information. We prove that the optimal sampling policy is a threshold policy and find the optimal threshold exactly. Specifically, a new sample is taken once a conditional mutual information term reduces to a threshold, and the threshold is equal to the optimum value of the time-average expected mutual information that is being maximized. Numerical results are provided to compare different sampling policies.

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 "partial updates losing information for freshness"):
  with members:
    - "optimal selective encoding for timely updates"
    - "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"

Connected through hyperedge HE-3 (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 in g g 1 1 systems age expressions bounds special cases and optimization"
    - "age of information for updates with distortion"
    - "using erasure feedback for online timely updating with an energy harvesting sensor"

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"
    - "age of information in g g 1 1 systems age expressions bounds special cases and optimization"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "information freshness for timely detection of status changes"):
  with members:
    - "optimal information updating based on value of information"
    - "the age of incorrect information a new performance metric for status updates"
    - "minimum age of information in the internet of things with non uniform status packet sizes"
    - "adaptive coding for information freshness in a two user broadcast erasure channel"
    - "coded status updates in an energy harvesting erasure channel"
    - "age of information minimization for an energy harvesting source with updating erasures with and without feedback"
    - "when to preempt age of information minimization under link capacity constraint"
    - "timely lossless source coding for randomly arriving symbols"

Connected through hyperedge HE-6 (induced by source paper "sampling for remote estimation through queues age of information and beyond"):
  with members:
    - "age optimal updates of multiple information flows"
    - "tutorial on uav a blue sky view on wireless communication"
    - "remote estimation over a packet drop channel with markovian state"
    - "a dynamic jamming game for real time status updates"
    - "joint status sampling and updating for minimizing age of information in the internet of things"
    - "massive uav to ground communication and its stable movement control a mean field approach"
    - "quantifying link stability in ad hoc wireless networks subject to ornstein uhlenbeck mobility"
    - "optimizing information freshness in wireless networks under general interference constraints"

Connected through hyperedge HE-7 (induced by source paper "closed form whittle s index enabled random access for timely status update"):
  with members:
    - "age of information in g g 1 1 systems age expressions bounds special cases and optimization"
    - "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"
    - "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-8 (induced by source paper "status from a random field how densely should one update"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "age optimal information gathering and dissemination on graphs"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "a two step learning and interpolation method for location based channel database"
    - "status updates through m g 1 1 queues with harq"
    - "update or wait how to keep your data fresh"
    - "on the age of information in status update systems with packet management"

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)