Fiscal space Fiscal space Fiscal space is the flexibility of a government in its spending choices, and, more generally, to the financial well-being of a government. Peter Heller (2005) defined it “as room in a government’s budget that allows it to provide resources for a desired purpose without jeopardizing the sustainability of its financial position or the stability of the economy.” There are different exact definitions for the term, and different metrics on how to measure it. The most influential definitions of the term come from international institutions, e.g., the International Monetary Fund (IMF) and the World Bank, the United Nations agencies,
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