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: "a new intrinsic way to measure ixp performance an experience in bolivia"
  Abstract: Bolivia, a landlocked emerging country in South America, has one of the smallest networks in the whole Internet. Before the IXP implementation, delivering packets between national ISPs had to be sent them through international transit links. Being aware of this situation and looking for increasing the number of users, Bolivian government enacted a law to gather all national ISPs on a single IXP in 2013. #R##N#In spite of several articles have researched about this topic, no one before has set the focus on measuring the evolution of end-users parameters in a South American developing country, moreover after a significant changing on the topology. For the current work, we have mainly studied hop, latency, traffic and route variation, a long a seven months. Topology have not been studied because Bolivian ISPs must be connected each others under legal obligation. #R##N#To achieve our measurement goals, and under absence of global-scale measuring projects in this country, we have developed our own active-measurement platform among local ASes. During the platform development we had to deal with local ISP fears, governmental agencies and regulation pressures. #R##N#We also survey the main previous papers on IXP analysis, and we classfied them on obtained data and their sources.

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)