Conversation: Serpentine Gallery ~ Edge: Map Marathon
How diseases link to each other thanks to the shared genes. We call it the diseasome.? Credit: Kwang-Il Goh, Michael E. Cusick, David Valle, Barton Childs, Marc Vidal, Albert-Laszlo Barabasi
RAQS media collection
A social network mapping arbitration of information and amount of connection between narcotraffickers and public servants in a Mexican Cartel
Fate map of early embryos for frog, chick, and mouse. They show what regions of the embryo will develop into.
An 1817 British Admiralty map of Kolpos Kallonis, the lagoon in Greece where Aristotle began the study of the biological world. Aristotle proposed that organisms were formed and maintained by their “souls,” by which he meant the topography of their metabolic and regulatory networks. Superimposed within the lagoon, therefore, is a map of the regulatory network of a yeast cell: Aristotle’s vision realized in the 21st C.
A map about the complete inability of the general public to gauge the relative sizes and distances, the areas, the population....Often there are extremely basic assumptions with distortions that would be hilarious, if they weren't at the same time so deeply sad as well...Analogous to illiteracy and innumeracy I coined the term "immappancy".
A Map of obesity within the kind of social network we all inhabit. There are 2,200 people (nodes) and many thousands of ties (lines) between them. Nodes with blue borders are men and red borders are women. Bigger nodes are bigger people, and the interior color of the nodes indicates whether the person is obese: yellow are obese and green are non-obese people. The colors of the ties between the nodes indicate the kind of relationship (e.g., friend, spouse, sibling). Clusters of obese and non-obese individuals are visible, and these arise not only because individuals of similar body size preferentially form ties, but also because one person's body size affects that of another to whom they are connected. This map sent us on a new direction in our research, orienting us to new possibilities that network science had for understanding the human condition, and improving it.