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This section is based on online tutorial by LADAL

Network analysis was based on co-occurence data. Following 18S analysis, a co-occurence matrix was constructed, counting total occurrences of two objects (phylum/ genus/ etc.) in all of the time points. the example table shows co-occurence of genera of diatoms:

 

 

The first network shows co-occurence of all the phyla in the dataset. Size of dots indicate number of occurences (out of 42 time points). Width of lines indicates number of co-occurences of the connected phyla. The position in the network is for visualzition and is not informative (need to verify this statement).

 

 

The network seems even, perhaps each phylum contains several OTUs, and therefore is represented consistently.
The 2nd network shows genera of diatoms:

 

Here the network is more informative, as it is distinct that some genera are highly abundant, an opposingly some genera are rare.

 

 

Another representation. The lines connect co-occuring species, the colors are not informative (besides easier visualisation) because the data is not directed. Both species have the same weight in the interaction (occuring together). This is a point to think about (how to use the directionality in the data)