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I am new to Cytoscape.js, so I may be missing something obvious...

I know how to do this in D3.js, but need more power to display clustering of a large number of nodes (> 1,000) and don't need to visualize the links.

Thanks in advance to pointing me in the right direction...

Owen
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1 Answers1

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It turns out I was looking at the doc for WebCola, not Cytoscape.js :-)

elements: {
      nodes: [
        { data: { id: 'a' } },
        { data: { id: 'b' } },
        { data: { id: 'c' } },
        { data: { id: 'd' } },
        { data: { id: 'e' } }
      ], 

      edges: [
        { data: { id: 'ae', weight: 1, source: 'a', target: 'e' } },
        { data: { id: 'ab', weight: 3, source: 'a', target: 'b' } },
        { data: { id: 'be', weight: 4, source: 'b', target: 'e' } },
        { data: { id: 'bc', weight: 5, source: 'b', target: 'c' } },
        { data: { id: 'ce', weight: 6, source: 'c', target: 'e' } },
        { data: { id: 'cd', weight: 2, source: 'c', target: 'd' } },
        { data: { id: 'de', weight: 7, source: 'd', target: 'e' } }
      ]
    }
Owen
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  • So, I am assuming I can turn the distance measures I have into "similarity" measures and use them for "weight". – Owen Dec 30 '16 at 22:13
  • You have to specify the weight function in the layout options. A larger weight indicates a stronger force, thereby making a shorter edge. – maxkfranz Jan 14 '17 at 03:16