How to use heatmap matrices

Heatmap matrices in mergeflow visualize how different objects identified by mergeflow (e.g. companies, experts, investors, technologies) relate to each other. Here we describe an example of a heatmap matrix.

For our example, we wanted to know what companies are working on specific technologies related to smart grid systems. So we searched for “smart grid” and selected “company” as tag type.

We then click on “Open matrix” (cf. red arrow in the screenshot above) and chose “technologies” (cf. blue arrow in the screenshot below) as column tag type:

 

The color intensity in each matrix cell indicates the number of hits. So, for instance, there are more hits on “Schneider Electric” and “SCADA” than there are hits on “Siemens” and “sensor networks”. The heatmap matrix is interactive, so clicking on a cell opens the underlying documents in a new tab.

You can export heatmap matrix data by clicking on “CSV (Excel)”, cf. red arrow in the screenshot above.

Heatmap matrices also let you cross-correlate search terms with entity classes (e.g. your search terms cross-correlated with companies or IPC classes).  For our example here, we searched for “smart grid” again, but also for one of the following related applications:

  • “demand response”
  • “asset management”
  • “energy management”
  • “meter data”
  • “predictive analytics”
  • “load management”
  • “smart home”
  • “outage management”
  • “dynamic pricing”
  • “customer engagement”
  • “smart appliances”
  • “customer information”
  • “mobile workforce”

In this example we focused on startups and companies associated with them.  So we go to the summary and click on “zoom in” at the companies section (cf. blue arrow in the screenshot below, upper left):

smart-grid-companies-on-summary

Notice that the company tag cloud contains startups and associated companies (so not all companies are startups).

As before, we then click on “Open matrix”, which shows us our search terms (columns) cross-correlated with companies (rows):


Also published on Medium.