This type of analysis provides insight into the underlying behaviour of the network. Critical events of communities and nodes can enable user to track the evolution of communities. Meerkat provides algorithm to compute and analyse changes in the structure of communities over time. Meerkat also provides information on the evolution of communities using dynamic community mining. Authority, Hub, Betweenness Centrality, Closeness Centrality, In-Degree, Out-Degree and Pagerank metrics are provided in Meerkat. Centrality Metrics - users can calculate a number of graph metrics and measures to analyse the graph and its nodes.User can perform community mining by selecting any one of the following 6 algorithms in Meerkat : Fast Modularity, Louvain, K-means clustering, Local T, Local Top Leaders, Rosvall Infomap, Rosvall Infomod, Same Attribute Value, Dynamic Community Mining and Local Community. Community Mining - Compute and visualise groups of similar nodes based on edges in the graph.Community Layouts - ComB and ComC layouts. The result is plotted on graph canvas in bulls eye style. Standard Layouts - Circle, Random, Kamada-Kawai, Fruchterman-Reingold, ForceAtlas2 and Modified Fruchterman-Reingold Metric Layouts - Authority and Hub, Betweenness Centrality, Closeness Centrality, In-Degree and Out-Degree and Pagerank. Layouts - Meerkat provides three types of layout algorithms:.The minimap shows a snapshot of the entire graph where the graph display area is unshaded and the non-visible part is shaded. Minimap - Bird's-eye view of the graph.The user can change the size and color of vertices and edges of the graph as well. The user can change the position of vertices on the graph by dragging them on the graph canvas area. Graph Canvas View - Manipulate views of the graph via features such as zoom in, zoom out and dragging the graph on the graph canvas area. The user can edit a graph by adding or deleting a set of vertices or edges. Graph Editing via UI - Edit the structure of the graph via GUI interaction.It also provides information about the most influential and central nodes within each community. Meerkat carefully lays the network out on the screen to minimise occlusion and highlight communities. Given a set of objects and their interactions with each other, Meerkat uses sophisticated algorithms, some of which is developed at Amii, to automatically identify groups of objects that are meaningfully connected, which we call communities. Zaiane at the Alberta Machine Intelligence Institute, Amii to help practitioners better comprehend and analyse vast amounts of data in the form of social networks. Meerkat is developed by a team led by Osmar R. It allows the user to compute descriptive node and community metrics and provides capabilities for event analysis for dynamic networks that have been observed at multiple points in time. It offers features for exploring social networks, visualising networks through multiple layout algorithms, analysing subsets of networks, performing community mining with several algorithms, and revealing network dynamics at the community level. Meerkat (SNA) is a social network analysis software and GUI application developed in Java and JavaFx. Social Network Analysis and Visualization
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |