Autonomous Systems (AS) exist and co-exist in two parallel dimensions. In one dimension they are physical networks composed of hardware devices inter-connected by endless snarls of cables and logical sessions. In the other, they are large wellknown companies competing in the same industry. In this paper we bridge together these dimensions by investigating synchronous cross correlations of stock market data and AS-level topological properties. We find that geographically close companies offering similar services are driven by common economic factors. We also provide evidence on the existence and nature of factors governing AS global as well as local topological properties.
The Twofold Nature of Autonomous Systems: Evidence Combining Stock Market Data with Topological Properties
LENZINI, LUCIANO;
In corso di stampa
Abstract
Autonomous Systems (AS) exist and co-exist in two parallel dimensions. In one dimension they are physical networks composed of hardware devices inter-connected by endless snarls of cables and logical sessions. In the other, they are large wellknown companies competing in the same industry. In this paper we bridge together these dimensions by investigating synchronous cross correlations of stock market data and AS-level topological properties. We find that geographically close companies offering similar services are driven by common economic factors. We also provide evidence on the existence and nature of factors governing AS global as well as local topological properties.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
