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: "controlling packet drops to improve freshness of information"
  Abstract: Many systems require frequent and regular updates of a certain information. These updates have to be transferred regularly from the source to the destination. We consider scenarios in which an old packet becomes completely obsolete, in the presence of a new packet. In this context, if a new packet arrives at the source while it is transferring a packet, one needs to decide the packet to be dropped. New packet has recent information, but might require more time to transfer. Thus it is not clear as to which packet to be dis- carded, and this is the main focus of the paper. Recently introduced performance metrics, called average age of information (AAoI) and peak age of information (PAoI) of the information available at the destination, are the relevant performance measures. These type of systems do not require storage buffers, of size more than one, at the source queue. We consider single source / multiple sources regularly updating information to a single destination possibly over wireless channels to derive optimal drop policies that optimize the AAoI. We showed that the state independent (static) policies like dropping always the old packets or dropping always the new packets is optimal in many scenarios, among an appropriate set of stationary Markov policies. We consider relevant games when multiple sources compete. In many scenarios, the non-cooperative solution almost minimizes the social objective, the sum of AAoIs of all the sources.

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"
    - "on the age of information in multi source queueing models"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "timely status updating through intermittent sensing and transmission"):
  with members:
    - "optimizing information freshness in computing enabled iot networks"
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "trading off computation with transmission in status update systems"
    - "waiting before serving a companion to packet management in status update systems"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "the age of information in networks moments distributions and sampling"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"
    - "can determinacy minimize age of information"

Connected through hyperedge HE-3 (induced by source paper "on the minimum achievable age of information for general service time distributions"):
  with members:
    - "age of information in g g 1 1 systems age expressions bounds special cases and optimization"
    - "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"
    - "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-4 (induced by source paper "minimum age of information in the internet of things with non uniform status packet sizes"):
  with members:
    - "average peak age of information minimization in uav assisted iot networks"
    - "age optimal transmission of rateless codes in an erasure channel"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "a reinforcement learning approach to age of information in multi user networks"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "sampling for data freshness optimization non linear age functions"
    - "joint status sampling and updating for minimizing age of information in the internet of things"
    - "optimizing information freshness in wireless networks under general interference constraints"

Connected through hyperedge HE-5 (induced by source paper "adaptive coding for information freshness in a two user broadcast erasure channel"):
  with members:
    - "benefits of coding on age of information in broadcast networks"
    - "age optimal transmission of rateless codes in an erasure channel"
    - "optimal age over erasure channels"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "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 "age optimal transmission of rateless codes in an erasure channel"):
  with members:
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "the age of information in networks moments distributions and sampling"
    - "to skip or to switch minimizing age of information under link capacity constraint"
    - "coded status updates in an energy harvesting erasure channel"
    - "when to preempt age of information minimization under link capacity constraint"
    - "timely updates over an erasure channel"
    - "update or wait how to keep your data fresh"
    - "optimizing data freshness throughput and delay in multi server information update systems"

Connected through hyperedge HE-7 (induced by source paper "the distribution of age of information performance measures for message processing systems"):
  with members:
    - "relative age of information maintaining freshness while considering the most recently generated information"
    - "minimizing the age of the information through queues"
    - "the age of information real time status updating by multiple sources"

Connected through hyperedge HE-8 (induced by source paper "the age of information in networks moments distributions and sampling"):
  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 a network of preemptive servers"
    - "age optimal updates of multiple information flows"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "minimizing content staleness in dynamo style replicated storage systems"
    - "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"

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.NI(Networking and Internet Architecture)