“God Bless You, 2011” focuses on the relationship between a bear and their human neighbor on their outdoor excursions in a post-nuclear fallout riverside town. The network graph above focuses on the types of radiation experienced by each character mentioned in the story – Sunglasses and Long Gloves being two characters of whom were only briefly mentioned, but were crucial in introducing the plot device of radiation poisoning.
This graph illuminates the dichotomy present between human and animal susceptibility to different types of radiation poisoning. The narrator, Sunglasses, and Long Gloves, who are all human, are susceptible to Uranium. However, it is implied in the story that both Sunglasses and Long Gloves have been affected by Plutonium and Strontium, as they are actively complaining about the ability of the bear to accept higher exposure to the stuff and not suffer from health complications. However, the narrator, who is in a suit, is never explicitly mentioned as having any direct contact with either Plutonium or Strontium. Thus the narrator is clearly seen as being an outlier in the types and amount of radiation poisoning they are exposed to.
The bear is directly mentioned as having exposure to Plutonium and Strontium, through the complaints of Sunglasses and Long Gloves. It is implied that the bear may also have been exposed by Uranium as well, but this sentiment was not reflected in the chart because it was only implied and not explicitly stated.
This network of poisoning is further complicated by a coloring system which represents each character versus each type of radiation poisoning they have been affected by. Orange denotes the type of radiation, whereas blue denotes the name of the character. The limitations of this chart are many, but the most glaring restriction is the ability of the chart to define the actual radiation amount of each character (e.g. the narrator’s exposure is 30 micro-sieverts in one afternoon alone). This information may be better reflected in a categorical chart, which can accept both the data types of numbers and multiple columns of text, instead of only text, or single columns of text.