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: "back of the envelope computation of throughput distributions in csma wireless networks"
  Abstract: This work started out with our accidental discovery of a pattern of throughput distributions among links in IEEE 802.11 networks from experimental results. This pattern gives rise to an easy computation method, which we term back-of-the-envelop (BoE) computation, because for many network configurations, very accurate results can be obtained within minutes, if not seconds, by simple hand computation. BoE beats prior methods in terms of both speed and accuracy. While the computation procedure of BoE is simple, explaining why it works is by no means trivial. Indeed the majority of our investigative efforts have been devoted to the construction of a theory to explain BoE. This paper models an ideal CSMA network as a set of interacting on-off telegraph processes. In developing the theory, we discovered a number of analytical techniques and observations that have eluded prior research, such as that the carrier-sensing interactions among links in an ideal CSMA network result in a system state evolution that is time-reversible; and that the probability distribution of the system state is insensitive to the distributions of the "on" and "off" durations given their means, and is a Markov random field. We believe these theoretical frameworks are useful not just for explaining BoE, but could also be a foundation for a fundamental understanding of how links in CSMA networks interact. Last but not least, because of their basic nature, we surmise that some of the techniques and results developed in this paper may be applicable to not just CSMA networks, but also to other physical and engineering systems consisting of entities interacting with each other in time and space.

Connected through hyperedge HE-1 (induced by source paper "throughput analysis of csma wireless networks with finite offered load"):
  with members:
    - "applications of belief propagation in csma wireless networks"
    - "fast mixing of parallel glauber dynamics and low delay csma scheduling"
    - "q csma queue length based csma ca algorithms for achieving maximum throughput and low delay in wireless networks"
    - "effective carrier sensing in csma networks under cumulative interference"
    - "saturation throughput analysis of ieee 802 11 in the presence of non ideal transmission channel and capture effects"

Connected through hyperedge HE-2 (induced by source paper "cell level modeling of ieee 802 11 wlans"):
  with members:
    - "capacity of large scale csma wireless networks"
    - "modeling multi cell ieee 802 11 wlans with application to channel assignment"
    - "effective carrier sensing in csma networks under cumulative interference"

Connected through hyperedge HE-3 (induced by source paper "capacity of large scale csma wireless networks"):
  with members:
    - "effective carrier sensing in csma networks under cumulative interference"
    - "safe carrier sensing range in csma network under physical interference model"
    - "rethinking information theory for mobile ad hoc networks"
    - "throughput and delay analysis of wireless random access networks"
    - "throughput scaling in random wireless networks a non hierarchical multipath routing strategy"
    - "hierarchical cooperation achieves optimal capacity scaling in ad hoc networks"

Connected through hyperedge HE-4 (induced by source paper "approaching throughput optimality in distributed csma scheduling algorithms with collisions"):
  with members:
    - "distributed random access algorithm scheduling and congesion control"

Connected through hyperedge HE-5 (induced by source paper "applications of belief propagation in csma wireless networks"):
  with members:
    - "throughput computation in csma wireless networks with collision effects"
    - "message error analysis of loopy belief propagation for the sum product algorithm"
    - "analysis of frequency agile csma wireless networks"
    - "effective carrier sensing in csma networks under cumulative interference"
    - "sufficient conditions for convergence of the sum product algorithm"

Connected through hyperedge HE-6 (induced by source paper "fast mixing of parallel glauber dynamics and low delay csma scheduling"):
  with members:
    - "on the design of efficient csma algorithms for wireless networks"
    - "computational transition at the uniqueness threshold"
    - "q csma queue length based csma ca algorithms for achieving maximum throughput and low delay in wireless networks"

Connected through hyperedge HE-7 (induced by source paper "on the design of efficient csma algorithms for wireless networks"):
  with members:
    - "q csma queue length based csma ca algorithms for achieving maximum throughput and low delay in wireless networks"
    - "randomized scheduling algorithm for queueing networks"

Connected through hyperedge HE-8 (induced by source paper "tcp reno over adaptive csma"):
  with members:
    - "capacity of large scale csma wireless networks"
    - "q csma queue length based csma ca algorithms for achieving maximum throughput and low delay 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)