Transboundary E-wasteMain MenuIntroduction: a map of the map.An introductory page for users after the landing page.Defining a starting point for the controversy map.A description of how we obtained a floating statement for the controversy map.Mapping the controversy on the web.A path containing the movements through the web corpus.Mapping the controversy on the scholarly web.A path leading users through the controversy as it can be traced in the scholalrly literature.Key findings.A short summary of key findings with links to appropriate parts of the map.Procedures for mapping the wild web.A path through the procedures we used to map the wild web.Procedures for mapping the scholarly web.A path through the procedures used to map the scholarly web.References, further reading, and tools.A page offering a list of suggested further reading and descriptions of main tools used in this controversy map.Josh Lepawsky31444794f29f45991a28c6c997946216e765688eJohn-Michael Davisf787e14b50e5a81b5a0cddeca64901018c933909Donny Persaud113ae967bd2d3037d2982353d771c6ad48515166Grace Akesebb4c76b563d1dcb8fc6851361486b801fce50755Liwen Chen0afa93a5fb126f8db135c704ec2d04b9f33ea134
12017-02-03T11:11:30-08:00Josh Lepawsky31444794f29f45991a28c6c997946216e765688e68261Legnd of the meta-actor types for the network analysis of actors.plain2017-02-03T11:11:30-08:00Josh Lepawsky31444794f29f45991a28c6c997946216e765688e
This page is referenced by:
12017-02-03T09:09:16-08:00From Actors to Networks on the Web.19An interactive graph of connections between web entities.plain2017-12-06T04:35:14-08:00Below is a visualization of all actors identified on the web and analysis of their interlinking behaviour (click here to read the full procedure used to create it). This visualization enables users to understand how coalitions of web entities related to the transboundary issue coalesce on the web. In short, the visualization depicts who is linking to whom and how. Nodes in the network are sized proportionally to the number of inlinks they receive from other web entities in the network (i.e., larger nodes receive more inlinks from other nodes). Nodes are also colour coded to reflect their meta-actor type (see legend below visualization).
Clicking on nodes in the network will launch a side panel that provides additional information about specific actors and what other actors they link to. Users should note that the location data for "city" refers to the location hosting a given actor's website(s), not necessarily the location of an actor itself.
Users can access the visualization below or access the full network in a separate window by clicking the "Source" tab below the image or by clicking here.
Some notable observations are evident. The two most prominent nodes are the Basel Action Network (BAN) and the US Environmental Protection Agency (EPA). These two websites receive the most inlinks from other websites found in our analysis. Inlinking behavior is a measure the prominence of a given website within a network. That BAN (an organization with approximately six employees and a budget just over a $1 million) receives more inlinks than the EPA (an organization over 15,000 employees and a budget over $8 billion) is a telling indicator of the role BAN's views play in shaping the understanding of transboundary e-waste issues. Indeed, the websites for the Basel Convention, for the United Nations Environmental Programme, and United Nations University (home of StEP) receive fewer inlinks than BAN or EPA.