Open Innovation Ecosystem

This post is a kind update of a previous one about “Open Innovation Ecosystem”  published in ISI Web of Science database by the 20th. of December of 2016. The updates are the following:
  1. 72 Scientific Papers were added to the list. The total number papers analized and visualized is 973 now.
  2. Data of some authors were harmonised as for instance: Henry Chesbrough, Wim Vanhaverbeke and Marcel Bogers
The visual analysis of the papers was made using our networkgraph tool ( In this collection of papers about Open Innovation we were able to show the following elements:
  • Nodes: The red nodes shows the number of paper published by each author. On the other side, the light green nodes  are the names of the journals.
  • Edges: The segment that connect two authors shows how intense is the collaboration between two authors. Authors can have multiples connections with different intensity.
The values of both nodes and edges are calculated using frequency and co-concurrence of the metadata provided by the data base.
  • Figure 1a. shows the entire ecosystem. As discussed in the previous posy it is possible to see what relationship each authors have been established during the time. As shown, there are authors that have developed strong and deep relationship and others authors that have a wider network. In the middle of the graph, it is possible to see the most frequent authors, sources and concepts (Figure 1b).

Figure 1a – Open Innovation Ecosystem

Figure 1b – A detail of the Open Innovation Ecosystem

Figure 2, shows the networks of the most productive authors. To produce this visualization we filtered the nodes size to show at minimum 10 articles. The Viz shows clearly that Henry Chesbrough and Wim Vanhaverbeke are those that have published the highest number of articles with 18 and 20 papers respectively. Other authors appears in the analysis too.

Figure 2 – Biggest nodes

Figure 3a and 3b The network of Henry Chesbrough and Wim Vanhaverbeke shows the network established until the date of each author as well as the journals.

Figure 3a – Network of Wim Vanhaverbeke


Figure 3b – Network of Henry Chesbrough


Finally, figure 4 shows an example of how keywords appearing in the title or summary could be analyzed using text mining. The blue nodes show terms related to “Intellectual property”. Although the tool can analyze a large number of terms or concepts, we have only included a few terms in this example.

Figure 4 – Network of Henry Chesbrough

Note: These papers have been extracted form “ISI Web of Science”, a Thomson Reuters data base, using the following  keywords (“open innovation” OR “open-innovation” OR “openinnovation”) in the title.