Title :
Communicating centrality in policy network drawings
Author :
Brandes, Ulrik ; Kenis, Patrick ; Wagner, Dorothea
Author_Institution :
Dept. of Math. & Comput. Sci., Passau Univ., Germany
Abstract :
We introduce a network visualization technique that supports an analytical method applied in the social sciences. Policy network analysis is an approach to study policy making structures, processes, and outcomes, thereby concentrating on relations between policy actors. An important operational concept for the analysis of policy networks is the notion of centrality, i.e., the distinction of actors according to their importance in a relational structure. We integrate this measure in a layout model for networks by mapping structural to geometric centrality. Thus, centrality values and network data can be presented simultaneously and explored interactively.
Keywords :
data visualisation; graphs; social sciences computing; centrality; force-directed placement; geometric centrality; network visualization technique; operational concept; policy making outcomes; policy making processes; policy making structures; policy network analysis; relational structure; social sciences; structural centrality; Collaboration; Data visualization; Drugs; Information analysis; Instruments; Intelligent networks; Multidimensional systems; Public policy; Social network services; Solid modeling;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2003.1196010