The Pacific RISA Social Network Analysis project sought to map the communications of climate change professionals in Hawaiʻi and the U.S.-Affiliated Pacific Islands. The Full Network maps reflect all 967 climate change professionals identified by participants of the study.
The Pacific RISA Core Region Network maps on this page reflect a denser and more highly connected network within our focal region. Professionals with no direct connections to Hawaiʻi and the USAPI were removed to narrow the focus to our core region. Professionals listed by only one survey participant were removed to enhance the relationship clusters found in our network.
The resulting maps below reveal the varied interdisciplinary and international collaborations common in Hawaiʻi and the USAPI. If you open the high resolution maps, you will be able to see individuals’ names and their connections to others. When considering future collaborations, you can explore who knows who within the region.
For example, to find potential collaborators by country or by sector:
Follow the links to the high-resolution map links, and download the “Original” high resolution size (may take a while to load)
Zoom in on network clusters from the target profession or country, identified by the color codes
Find the contacts with the greatest centrality
Search their connections to find colleagues you have in common
Pacific RISA Core Region Network Map 1: Participants by Country
This map represents the core Hawaiʻi-USAPI network findings of the Pacific RISA Network Analysis project. This map includes 452 global climate change professionals who are from or connected to more than one person within the Hawaiʻi-USAPI focal region (with a mean of 37 professional connections listed). In this core network, 382 members are from Hawaii and the USAPI, reflecting the narrow focus of this map.
This map uses a layout algorithm called Force Atlas 2, available in the Gephi Network Analysis software. This layout pulls clusters apart so that it is easier to see who is connected with whom in a cluster, and how well the clusters are connected with each other. The size of each circle indicates the eigenvector centrality of network members (see definition below). The circles’ color indicates each person’s country or region.
What can we learn from it?
From this map, it is easy to see that climate change professionals cluster with others from their home country, which is not surprising. Additionally, there are very strong connections between these country clusters, indicating high levels of collaboration and communication across the Hawaiʻi-USAPI focal region. The fact that the clusters are so close to each other, and overlap with each other, indicates that regional connections transcend locational boundaries. There are no regional clusters that are at risk of becoming isolated; all regional clusters are well connected to the others.
This map is composed of the exact same people, connections, and layout algorithm as the map above. The circles are sized according to connectedness and colored according to profession.
What can we learn from it?
Though the first map reveals clusters according to country, in this map it becomes apparent that members of our network also cluster according to their profession. The Climate Sciences & Meteorology cluster (bright red) is the most central in the map. Other easily apparent clusters include Conservation (olive green), Marine Biology (blue), and Natural Resources Management (blue-green). However, like the country clusters above, these professional clusters have strong ties between groups, and often overlap, indicating high levels of communication and collaboration.
Who are the most central people on these maps?
Centrality can be measured in different ways; each measure means something different. The following table lists the five “most central” people from each region, according to different measures of centrality. See below for definitions.
Why are some of these numbers different than those for the Full Network Map?
Some measures of centrality are relational and therefore change as the size and shape of the map change. For example, closeness centrality is calculated according to the distance across the network. Therefore, a person with the same connections in a large or small graph will have a different closeness centrality accordingly.
Degree centrality is the number of people you have listed connections to in this region. It is measured from 0 (no connections) to the network population minus one. In these maps for the Hawaiʻi-USAPI Centric Network, all members have a degree centrality of two or higher.
Eigenvector centrality looks at a person’s position within the network, basically measuring each person’s centrality according to the centrality of their connections. It is measured from 0 to 1 (highest eigenvector centrality in the network).
Closeness centrality is the inverse of farness, which is the sum of how many hops one must make to connect to all others in the network.
Betweenness centrality considers how many shortest paths between pairs of people across the network pass through a given person. Oftentimes, there are multiple shortest paths between a pair, so betweenness centrality calculates the fraction of these shortest paths that go through the target person, and then adds all of the fractions from all possible pairs.
Triads are formed when two people you are connected to are also connected to each other. Triads show interconnected relationships within communities.
Who are the most peripheral people on these maps?
Are the people with few connections on these maps unimportant? The answer to these questions is a resounding no! Not everyone who is listed on these maps participated in the survey. These climate change professionals are important enough to the network that our survey participants took the time to think of them and list their names as important contacts regarding climate change, weather, and the environment. They come from all different fields and from all over the Pacific and world. Almost certainly they have many connections with others in our network, and it is our hope that future studies can further capture their participation and connections.
Confidentiality
If you zoom in on the high resolution images above, you may find that many people are listed by sector only, and not by their names. These people could not be contacted or did not give their permission for their names to appear, and so we are respecting their privacy.
Resilient and sustainable Pacific Island communities using climate information to manage risks and support practical decision-making about climate variability and change.
Pacific RISA Network
The Pacific RISA Social Network Analysis project sought to map the communications of climate change professionals in Hawaiʻi and the U.S.-Affiliated Pacific Islands. The Full Network maps reflect all 967 climate change professionals identified by participants of the study.
The Pacific RISA Core Region Network maps on this page reflect a denser and more highly connected network within our focal region. Professionals with no direct connections to Hawaiʻi and the USAPI were removed to narrow the focus to our core region. Professionals listed by only one survey participant were removed to enhance the relationship clusters found in our network.
The resulting maps below reveal the varied interdisciplinary and international collaborations common in Hawaiʻi and the USAPI. If you open the high resolution maps, you will be able to see individuals’ names and their connections to others. When considering future collaborations, you can explore who knows who within the region.
For example, to find potential collaborators by country or by sector:
Pacific RISA Core Region Network Map 1: Participants by Country
CLICK HERE for a High Resolution map image. Download the “Original (10000 x 10000)” size.
What is this map?
This map represents the core Hawaiʻi-USAPI network findings of the Pacific RISA Network Analysis project. This map includes 452 global climate change professionals who are from or connected to more than one person within the Hawaiʻi-USAPI focal region (with a mean of 37 professional connections listed). In this core network, 382 members are from Hawaii and the USAPI, reflecting the narrow focus of this map.
This map uses a layout algorithm called Force Atlas 2, available in the Gephi Network Analysis software. This layout pulls clusters apart so that it is easier to see who is connected with whom in a cluster, and how well the clusters are connected with each other. The size of each circle indicates the eigenvector centrality of network members (see definition below). The circles’ color indicates each person’s country or region.
What can we learn from it?
From this map, it is easy to see that climate change professionals cluster with others from their home country, which is not surprising. Additionally, there are very strong connections between these country clusters, indicating high levels of collaboration and communication across the Hawaiʻi-USAPI focal region. The fact that the clusters are so close to each other, and overlap with each other, indicates that regional connections transcend locational boundaries. There are no regional clusters that are at risk of becoming isolated; all regional clusters are well connected to the others.
Pacific RISA Core Region Network Map 2: Participants by Profession
CLICK HERE for a High Resolution map image. Download the “Original (10000 x 10000)” size.
What is this map?
This map is composed of the exact same people, connections, and layout algorithm as the map above. The circles are sized according to connectedness and colored according to profession.
What can we learn from it?
Though the first map reveals clusters according to country, in this map it becomes apparent that members of our network also cluster according to their profession. The Climate Sciences & Meteorology cluster (bright red) is the most central in the map. Other easily apparent clusters include Conservation (olive green), Marine Biology (blue), and Natural Resources Management (blue-green). However, like the country clusters above, these professional clusters have strong ties between groups, and often overlap, indicating high levels of communication and collaboration.
Who are the most central people on these maps?
Centrality can be measured in different ways; each measure means something different. The following table lists the five “most central” people from each region, according to different measures of centrality. See below for definitions.
Why are some of these numbers different than those for the Full Network Map?
Some measures of centrality are relational and therefore change as the size and shape of the map change. For example, closeness centrality is calculated according to the distance across the network. Therefore, a person with the same connections in a large or small graph will have a different closeness centrality accordingly.
Degree centrality is the number of people you have listed connections to in this region. It is measured from 0 (no connections) to the network population minus one. In these maps for the Hawaiʻi-USAPI Centric Network, all members have a degree centrality of two or higher.
Eigenvector centrality looks at a person’s position within the network, basically measuring each person’s centrality according to the centrality of their connections. It is measured from 0 to 1 (highest eigenvector centrality in the network).
Closeness centrality is the inverse of farness, which is the sum of how many hops one must make to connect to all others in the network.
Betweenness centrality considers how many shortest paths between pairs of people across the network pass through a given person. Oftentimes, there are multiple shortest paths between a pair, so betweenness centrality calculates the fraction of these shortest paths that go through the target person, and then adds all of the fractions from all possible pairs.
Triads are formed when two people you are connected to are also connected to each other. Triads show interconnected relationships within communities.
Who are the most peripheral people on these maps?
Are the people with few connections on these maps unimportant? The answer to these questions is a resounding no! Not everyone who is listed on these maps participated in the survey. These climate change professionals are important enough to the network that our survey participants took the time to think of them and list their names as important contacts regarding climate change, weather, and the environment. They come from all different fields and from all over the Pacific and world. Almost certainly they have many connections with others in our network, and it is our hope that future studies can further capture their participation and connections.
Confidentiality
If you zoom in on the high resolution images above, you may find that many people are listed by sector only, and not by their names. These people could not be contacted or did not give their permission for their names to appear, and so we are respecting their privacy.
Our Vision
Resilient and sustainable Pacific Island communities using climate information to manage risks and support practical decision-making about climate variability and change.
Tag Cloud
Follow Pacific RISA
Subscribe to our mailing list
Archives
Links