Premier Software for Social Network Analysis. The Next Generation Software for Social Network Analysis (SNA), Data Visualization, and Link Analysis. Social Network Analysis (SNA) Software with Sentinel Visualizer. Degree Centrality Degree centrality is simply the number of direct relationships that an entity has. An entity with high degree centrality: Is generally an active player in the network. Is often a connector or hub in the network. In our example network diagram above, Alice has the highest degree centrality, which means that she is quite active in the network. Betweenness Centrality Betweenness centrality identifies an entity's position within a network in terms of its ability to make connections to other pairs or groups in a network.
Holds a favored or powerful position in the network. In the example above, Rafael has the highest betweenness because he is between Alice and Aldo, who are between other entities. Closeness Closeness centrality measures how quickly an entity can access more entities in a network. Has quick access to other entities in a network. Eigenvalue Eigenvalue measures how close an entity is to other highly close entities within a network.
Hub and Authority Going Further. January « 2009 « Scientometrics, Knowledge Management, and Social Network Analysis. Library System I have been looking for a simple library management system recently. Some popular proprietary system: by SirsiDynix (Dynix, Horizon, Symphony, Unicorn) and by Innovative Interfaces (Millenium). Some popular Open Source Integrated Library System: Koha and Evergreen. One library management system (for a small one) and if you don’t need it to work as an OPAC/Online Public Access Catalogue is BookDB2. Corporate Connections I’ve seen this diagram before, but was reminded again of it through digg today. Source: zoharma Steps in developing taxonomy What are the steps involved in developing taxonomy for knowledge management?
Source: Taxonomy Development for Knowledge Management. Rob Cross. Introduction to Organizational Network Analysis Over the past decade or so significant restructuring efforts have resulted in organizations with fewer hierarchical levels and more permeable functional and organizational boundaries. While hopefully promoting efficiency and flexibility, a byproduct of these restructuring efforts is that coordination and work increasingly occur through informal networks of relationships rather than through formal reporting structures or prescribed work processes.
These seemingly invisible webs have become central to performance and strategy execution. Research shows that appropriate connectivity in networks within organizations can have a substantial impact on performance, learning, and innovation, and benefits also accrue from well-connected networks between organizations. Three important points quickly emerged from the ONA: First, the ONA identified mid-level managers that were critical in terms of information flow within the group. Lines and Arrows.