Hi,
I constructed a network with igraph showing the connections between bacterial groups in three different systems (suppose A, B and C). Each node represented an OTU/ASV and edge represented connections between them. Each system formed a hub and showed their respective connections. Now I am interested in knowing the number of nodes, edges in each hub and also connectivity degree, cohesion and modularity. I want to know whether the degree of connections between two systems are larger than the other. Like whether A and B are connected strongly than A and C.I am not sure how can I do that. Any help will be appreciated. I will be happy to share more information if needed.
Best,
Sandipan
Hi Sandipan,
I'm not quite sure if it's relevant to what you're working on or not. But anyway, if you made any network with the purpose of finding the right candidates, you may consider using the IVI, an integrative algorithm, for finding the most influential nodes within the network! It is included as a function in the Influential R package (https://cran.r-project.org/web/packages/influential/index.html).
You may also read the corresponding paper at https://www.researchgate.net/publication/342374701_Integrated_Value_of_Influence_An_Integrative_Method_for_the_Identification_of_the_Most_Influential_Nodes_within_Networks
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