title: How to form network using tanimoto distance
body: <p>I have data like this</p>
  
  <pre><code>column-1   Column-2      Similarity_dist
  chemical-1 chemical-2    0.6
  chemical-1 chemical-3    0.1
  chemical-1 chemical-4    0.7
  chemical-1 chemical-5    0.3
  chemical-2 chemical-1    0.05
  chemical-2 chemical-3    0.65
  chemical-2 chemical-4    0.75
  chemical-2 chemical-5    0.4
  </code></pre>
  
  <p>. . such 16000 rows. Now I filtered them with similarity cutoff of 0.5, and my data looks like</p>
  
  <pre><code>column-1   Column-2      Similarity_dist
  chemical-1 chemical-2    0.6
  chemical-1 chemical-4    0.7
  chemical-2 chemical-3    0.65
  chemical-2 chemical-4    0.75
  </code></pre>
  
  <p>. .</p>
  
  <p>I want to find interaction network among these chemicals. Does anyone knows method in R by which I can use chemicals as nodes and distances as edges and then form network? Any other suggestion? Any code?</p>