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: "source behavior for atm abr traffic management an explanation"
  Abstract: The available bit rate (ABR) service has been developed to support data applications over asynchronous transfer mode (ATM) networks. The network continuously monitors its traffic and provides feedback to the source end systems. This article explains the rules that the sources have to follow to achieve a fair and efficient allocation of network resources.

Connected through hyperedge HE-1 (induced by source paper "the erica switch algorithm for abr traffic management in atm networks"):
  with members:
    - "congestion avoidance in computer networks with a connectionless network layer part i concepts goals and methodology"
    - "congestion control and traffic management in atm networks recent advances and a survey"
    - "feedback consolidation algorithms for abr point to multipoint connections in atm networks"
    - "tcp selective acknowledgments and ubr drop policies to improve atm ubr performance over terrestrial and satellite networks"
    - "the osu scheme for congestion avoidance in atm networks lessons learnt and extensions"
    - "congestion control with explicit rate indication"
    - "performance of tcp over abr on atm backbone and with various vbr traffic patterns"
    - "design and analysis of queue control functions for explicit rate switch schemes"

Connected through hyperedge HE-2 (induced by source paper "on determining the fair bandwidth share for abr connections in atm networks"):
  with members:
    - "the erica switch algorithm for abr traffic management in atm networks"
    - "congestion control and traffic management in atm networks recent advances and a survey"
    - "a definition of general weighted fairness and its support in explicit rate switch algorithms"
    - "congestion control with explicit rate indication"
    - "abr flow control for multipoint connections"

Connected through hyperedge HE-3 (induced by source paper "modeling traffic management in atm networks with opnet"):
  with members:
    - "the erica switch algorithm for abr traffic management in atm 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)