The Network Predictors
Monitoring Network Measurements To Predict Corporate Performance Before It Is Public Knowledge
R. Canale (TU Delft - Technology, Policy and Management)
T. Fiebig – Mentor (TU Delft - Information and Communication Technology)
Michel van Eeten – Graduation committee member (TU Delft - Organisation & Governance)
E. Schröder – Graduation committee member (TU Delft - Economics of Technology and Innovation)
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Abstract
Network measurments are mostly used to studynetwork topology, performance and security. The thesis uses network measurements in relation to large Internet corporations like Salesforce, Netflix and Snapchat. The thesis attempts to verify whether it is possible to predict company performance by monitoring network measurements. For the three corporations considered, the measurements provide insider information on the company, before it is made available to the public or released by the corporation itself. Network measurements can be used by managers effectively as a tool to understand and predict company perofrmance.