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: "adaptive coding for information freshness in a two user broadcast erasure channel"
  Abstract: In this paper, we investigate the impact of coding on the Age of Information (AoI) in a two-user broadcast symbol erasure channel with feedback. We assume each update consists of $K$ symbols and the source is able to broadcast one symbol in each time slot. Due to random channel noise, the intended symbol at each user will be erased according to an independent and identically distributed (i.i.d.) Bernoulli process. A user is able to successfully decode an update if it accumulates sufficient information and successfully decodes the $K$ symbols of the update. Assuming prefect feedback information at the source right after the transmission of each symbol, our objective is to design an adaptive coding scheme to achieve small AoI at both users. We propose a novel coding scheme to judiciously combine symbols from different updates together, and analyze the AoI at both users. Compared with a baseline greedy scheme, the proposed adaptive coding scheme improves the AoI at the weak user by orders of magnitude without compromising the AoI at the strong user.

Connected through hyperedge HE-1 (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"
    - "information aging through queues a mutual information perspective"
    - "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-2 (induced by source paper "age of information for multicast transmission with fixed and random deadlines in iot systems"):
  with members:
    - "age of information for computation intensive messages in mobile edge computing"
    - "average peak age of information minimization in uav assisted iot networks"
    - "economics of age of information management under network externalities"
    - "minimizing the age of information in wireless networks with stochastic arrivals"
    - "broadcast age of information in csma ca based wireless networks"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "age minimal online policies for energy harvesting sensors with random battery recharges"
    - "reinforcement learning based scheduling algorithm for optimizing age of information in ultra reliable low latency networks"

Connected through hyperedge HE-3 (induced by source paper "trading off computation with transmission in status update systems"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "waiting before serving a companion to packet management in status update systems"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "using erasure feedback for online timely updating with an energy harvesting sensor"
    - "on peak age of information in data preprocessing enabled iot networks"
    - "relative age of information a new metric for status update systems"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "the age of information in networks moments distributions and sampling"

Connected through hyperedge HE-4 (induced by source paper "on the age of information in erasure channels with feedback"):
  with members:
    - "a reinforcement learning framework for optimizing age of information in rf powered communication systems"
    - "age of information in multiple sensing of a single source"
    - "benefits of coding on age of information in broadcast networks"
    - "optimal age over erasure channels"
    - "timely updates over an erasure channel"
    - "status updates through m g 1 1 queues with harq"
    - "the age of information real time status updating by multiple sources"
    - "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)