Analysis tab: Difference between revisions
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visone provides many algorithms for network analysis; all of them are accesible via the analysis tab. Basic illustrations of how to analyze networks and subsequently display the computed values are provided in the two tutorials on [[Visualization_and_analysis_(tutorial)|''visualization and analysis'']] and [[Managing_attributes_(tutorial)|''advanced attribute management'']]. | |||
visone distinguishes between two major '''analysis tasks''' | |||
* ''indexing'' for the computation of node-level and edge-level properties, such as centrality; | |||
* ''grouping'' for the computation of specific groups of nodes and/or links, such as densely connected clusters; | |||
Starting with visone '''version 2.6.4''' the analysis task ''siena'' for modeling network dynamics via the [[RSiena_interface|RSiena]] package is done via the [[Modeling_tab|modeling tab]]. (See the tutorial on [[RSiena_(tutorial)|''using RSiena from within visone'']] for illustration of this task.) | |||
== indexing == | == indexing == | ||
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Latest revision as of 16:32, 11 January 2012
visone provides many algorithms for network analysis; all of them are accesible via the analysis tab. Basic illustrations of how to analyze networks and subsequently display the computed values are provided in the two tutorials on visualization and analysis and advanced attribute management.
visone distinguishes between two major analysis tasks
- indexing for the computation of node-level and edge-level properties, such as centrality;
- grouping for the computation of specific groups of nodes and/or links, such as densely connected clusters;
Starting with visone version 2.6.4 the analysis task siena for modeling network dynamics via the RSiena package is done via the modeling tab. (See the tutorial on using RSiena from within visone for illustration of this task.)
indexing
node centrality
...
node density
...
node distance
...
link centrality
...
node and link centrality
...
value of endnodes
...
edge weight normalizations
...
grouping
clustering
...
cohesiveness
...
connectedness
...
role equivalence
...
bipartition
...