human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "probability analysis of age of information in multi hop networks"):
  Abstract: Age-of-information (AoI) is a metric quantifying information freshness at the receiver. It has received a lot of attention as it captures the delay together with packet loss and packet generation rate. However, most of the work aim for the average or peak AoI neglecting the complete distribution. In this work, we consider a n-hop network between a source and destination pair with time-invariant packet loss probabilities on each link. We derive closed form equations for the probability mass function of AoI at the receiver. We verify our findings with simulations. Our results show that the performance indicators considered in the literature such as average AoI or peak AoI may give misleading insights into the complete AoI performance.

Includes members:
  Member "a general formula for the stationary distribution of the age of information and its application to single server queues":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "timely updates by multiple sources the m m 1 queue revisited")
  Member "age of information vs value of information scheduling for cellular networked control systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "revealing much while saying less predictive wireless for status update")
  Member "performance characterization using aoi in a single loop networked control system":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a whittle index approach to minimizing functions of age of information")
  Member "age of information in a network of preemptive servers":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "analysis on computation intensive status update in mobile edge computing")
  Member "age optimal trajectory planning for uav assisted data collection":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deep reinforcement learning for fresh data collection in uav assisted iot networks")
  Member "age optimal information updates in multihop networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "timely updates by multiple sources the m m 1 queue revisited")
  Member "status updates over unreliable multiaccess channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "timely synchronization with sporadic status changes")
  Member "update or wait how to keep your data fresh":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "who should google scholar update more often")

Question: Please tell me which class the source paper 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)