I've been working on the network analysis of adolescent depressive symptoms. I've estimated the network, the centrality indices and network stability using packages qgraph and bootnet. Then I want to detect if there're communities or subnetworks of symptoms within the whole network. I know from the previous research that I should use package igraph. However, any function in igraph require a graph object which I don't know how to create with my raw data.
Can the network or the plot created by qgraph or bootnet transformed into the graph that igraph requires?
Are you referring to using a spin glass algorithm for community detection?
First, you should construct the vertices or sources of the graph and define the condition for connection between two sources or vertices. Post your connectivity condition, we try to provide the condition for edge joining.
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