Complex Network Measurements: Estimating the Relevance of Observed Properties

Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measurement procedures. Until recently, most studies assumed that these procedures eventually lead to samples large enough to be representative of the whole, at least concerning some key properties. This has crucial impact on network modeling and simulation, which rely on these properties. Recent contributions proved that this approach may be misleading, but no solution has been proposed. We provide here the first practical way to distinguish between cases where it is indeed misleading, and cases where the observed properties may be trusted. It consists in studying how the properties of interest evolve when the sample grows, and in particular whether they reach a steady state or not. In order to illustrate this method and to demonstrate its relevance, we apply it to data-sets on complex network measurements that are r...

• Type: Conference
• Year: 2008
• Where: INFOCOM
• Authors: Matthieu Latapy, Clémence Magnien
• Keywords: Communications, Complex Networks, INFOCOM 2008, Intricate Measurement Procedures, Large Graphs