
The EuropaBON network dashboard allows you to map Europe's biodiversity community, its key actors and their connections. You can visualize the network by sector (e.g., academia, private industry), realm (e.g., marine, freshwater), or region (e.g., eastern Europe, southern Europe). The dashboard also allows you to see which sectors, realms or regions have most of the connections and which actors are central to the network. Play around with our interactive graphs to e.g., identify those actors who are influential and have actively engaged in designing the future European biodiversity monitoring system. All the graphs are calculated dynamically based on the most current stakeholder data available. The network is comprised of two fundamental components: nodes and connections. Nodes represent member institutions that are registered within the EuropaBON network, and connections between them are established based on their data-sharing interactions. Each node possesses distinct attributes, including the type of institution (e.g., occupational sector), the thematic focus of their work, and their geographical location, encompassing both country and region. To assess the centrality of each node within the network, we employed two key metrics: Degree centrality, which measures the number of connections a node has, and Eigenvector centrality, a metric gauging the influence of a node within the network as determined by the Page Rank algorithm. The construction of the network graph was facilitated using Cytoscape JS using a force-directed layout to visually identify clusters and bridges. The charts and diagrams were created using Highcharts. All associated code can be accessed on our GitHub repository. The EuropaBON network dashboard can be accessed via: https://europabon.org/members/network-analysis/src
Cytoscape JS, Network visualization, EuropaBON, Highcharts, Network Analysis
Cytoscape JS, Network visualization, EuropaBON, Highcharts, Network Analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
