Graph linking strategies - multivariate
LinkGraphs
Builder class for linking multiple graphs, through which we can access linking strategies.
Attributes:
graph: networkx.Graph objectgraphs: dictionary of networkx.Graph objectscommand_array: an array that stores linking strategies
correlation(corr)
Notes that we want to connect graphs in a multivariate graph based on correlation.
correlation_sliding_window(corr)
Notes that we want to connect graphs in a multivariate graph based on correlation for sliding window graph.
dynamic_timewarping()
Notes that we want to connect graphs in a multivariate graph based on dynamic time warping.
positional_correlation_sliding_window(corr)
Notes that we want to connect graphs in a multivariate graph based on correlation for same positioned windows of series.
sliding_window()
Notes that we want to connect graphs in a multivariate graph to create sliding window graph.
time_cooccurrence()
Notes that we want to connect graphs in a multivariate graph based on time co-ocurrance.
StrategyLinkingMultipleGraphs
Links multiple graphs together.
Attributes:
graph: networkx.Graph objectgraphs: dictionary of networkx.Graph objectsstrategy_precedence: tells in which order should the strategies be excetuted
StrategyLinkingMultipleGraphsByTimeCooccurrence
Bases: StrategyLinkingMultipleGraphs
Links nodes from multiple graphs based on their sequential order.