Fiscal transparency Fiscal transparency Fiscal transparency refers to the publication of information on how governments raise, spend, and manage public resources. More specifically, it means publication of high quality information on how governments raise taxes, borrow, spend, invest, and manage public assets and liabilities. Fiscal transparency includes public reporting on the past, present, and future state of public finances. Fiscal policies have critical impacts on economic, social and environmental outcomes in all countries at all levels of development. Fiscal transparency is sometimes used synonymously with budget transparency. However, fiscal transparency is in principle wider than budget transparency. It includes all public assets,
Word-sense induction on the identification of hubs in co-occurrence graphs, which have to cope with the need to tune a large number of parameters. To deal with this issue several graph-based algorithms have been proposed, which are based on simple graph patterns, namely Curvature Clustering, Squares, Triangles and Diamonds (SquaT++), and Balanced Maximum Spanning Tree Clustering (B-MST). The patterns aim at identifying meanings using the local structural properties of the co-occurrence graph. A randomized algorithm which partitions the graph vertices by iteratively transferring the mainstream message (i.e. word sense) to neighboring vertices is Chinese Whispers. By applying co-occurrence graphs approaches have been