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 "evaluating and optimising models of network growth"):
  Abstract: This paper presents a statistically sound method for measuring#R##N#the accuracy with which a probabilistic model reflects#R##N#the growth of a network, and a method for optimising parameters#R##N#in such a model. The technique is data-driven, and#R##N#can be used for the modeling and simulation of any kind of#R##N#evolving network.#R##N#The overall framework, a Framework for Evolving Topology#R##N#Analysis (FETA), is tested on data sets collected from#R##N#the Internet AS-level topology, social networking websites#R##N#and a co-authorship network. Statisticalmodels of the growth#R##N#of these networks are produced and tested using a likelihoodbased#R##N#method. The models are then used to generate artificial#R##N#topologies with the same statistical properties as the#R##N#originals. This work can be used to predict future growth#R##N#patterns for a known network, or to generate artificial models#R##N#of graph topology evolution for simulation purposes. Particular#R##N#application examples include strategic network planning,#R##N#user profiling in social networks or infrastructure deployment#R##N#in managed overlay-based services.

Includes members:
  Member "an integrated model of traffic geography and economy in the internet":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deductive way of reasoning about the internet as level topology")
  Member "accurately modeling the internet topology":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "disentangling interpretable generative parameters of random and real world graphs")

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.NI(Networking and Internet Architecture)