Research

Networkmetrics

Networkmetrics

Exploratory Data Analysis (EDA) based on multivariate projection techniques has been extensively employed in many research fields, including social sciences, education, medicine, chemistry and related fields. EDA based on

Multivariate problems are found in all areas of knowledge. In chemistry and related disciplines, the chemometric community was developed in a joint effort to understand and solve problems mainly from a multivariate and exploratory perspective. This perspective is, indeed, of broader applicability, even in areas of knowledge far from chemistry. This is the case of the study of the Internet: the net of devices that allow an interconnected world where all types of data can be shared and unprecedented communication services can be provided. Problems on the Internet, or in general in networking, are not very different from chemometric problems. They include anomaly detection (e.g. cybersecurity and cyberwalfare), estimation (network traffic estimation) and optimization (network planning, design and traffic engineering) problems. Also, multivariate exploratory analysis is paramount to understand problems in a network, differences among communication protocols, and in general any set of complex data we can gather from a network.

Building on this parallelism, we call Networkmetrics the approach of treating Internet problems from a multivariate perspective. Networkmetric problems have their own specificities, mainly their typical Big Data nature and the presence of unstructured data. My belief is that multivariate analysis is, indeed, useful to tackle these specificities.