Analysis of public procurement data using social network techniques

Abstract

As more and more data become publicly available, the interest in extracting valuable information out of this data receives increasing attention. For each category of data, the advantages of open data analysis may be specific. In this research, we are interested in the open data of public procurement of Lithuania. Such kind of analysis may help reveal corruption and address the issues of transparency. However, the appropriate analysis technique should be carefully selected in order to obtain reliable and valuable results. In this part of the research, we focus on methods of knowledge discovery, such as social network analysis. This methodology was selected due to its ability to identify and visually represent relations among a large amount of data.