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 "enhancing network transmission capacity by efficiently allocating node capability"):
  Abstract: A network's transmission capacity is the maximal rate of traffic inflow that the network can handle without causing congestion. Here we study how to enhance this quantity by redistributing the capability of individual nodes while preserving the total sum of node capability. We propose a practical and effective node-capability allocation scheme which allocates a node's capability based on the local knowledge of the node's connectivity. We show the scheme enhances the transmission capacity by two orders of magnitude for networks with heterogenous structures.

Includes members:
  Member "on cost effective communication network designing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "phase changes in the evolution of the ipv4 and ipv6 as level internet topologies")
  Member "chinese internet as level topology":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "characterizing and avoiding routing detours through surveillance states")
  Member "a model of internet topology using k shell decomposition":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "target privacy preserving for social networks")
  Member "structural bottlenecks for communication in networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "link power coordination for energy conservation in complex communication networks")
  Member "the internet as level topology three data sources and one definitive metric":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the graph structure of the internet at the autonomous systems level during ten years")
  Member "understanding the evolution dynamics of internet topology":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "phase changes in the evolution of the ipv4 and ipv6 as level internet topologies")
  Member "accurately modeling the internet topology":
    also connected through other hyperedges:
      - Hyperedge HE-7 (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)