Linked Open Data is a paradigm for linking the data available on the Web in a structured format in order to make it accessible for computers and people. This leads to having more people and services publish their data on the web and as a result the graph that contains all this information is getting bigger. This paper proposes the usage of some network analysis algorithms on a Linked Dataset in order to extract useful information which in turn leads to a better understanding/interpretation of the data involved, plus comprises a first step in the direction of mining hidden information from the dataset.
