< strong > Writing | Wang Han
LI Ting (School of Society and Population, Renmin University of China).
Longxiuchen (School of Society and Population, Renmin University of China).
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On April 14, 2019 (North American time), the magic epic drama “Game of Power” ushered in the final season, and the smoke of eight years in Westeros was about to disappear. Game of Power (< EM > The Game of Thrones ) is a TV series adapted from George R. R. Martin’s novel Song of Ice and Fire (< EM > A Song of Ice and Fire) by HBO Company of the United States. At the end of last year, several foreign colleagues wrote an academic paper-style “alternative film review” while enjoying the exquisite production of TV dramas.
On Dec. 10, 2018, two < strong > power (science) < strong > Travel (learning) < strong > fans (home) < strong > Reidar Lystad and Benjamin Brown from Macquarie University, Australia, focused on the death and sum of 330 main characters in the 1-7 seasons since the launch of The Game of Power through their own hard and persistent research (drama). Distribution of causes of death (thanks to Lord Martin for making such a large death sample), and the main influencing factors conducted a “systematic and scientific epidemiological analysis”. The study was published in the Journal of Epidemiology < EM > Injury Epidemiology.
It is the lifelong pursuit of many researchers that < strong > can also publish papers.
The data collection is mainly completed by two authors through watching the film records, and referring to the relevant information from Wikipedia and the Film Database (IMDb) contributed by enthusiastic netizens. Because of the analysis of death events, the classical survival analysis (event history analysis) in demography is naturally the “benevolent” choice.
In the analysis, the most important variable is the survival time of the main characters in the play, which is defined by the author as “by the seventh season, the time from the first appearance of the characters to the death or the time of their continued survival (such characters are still alive, and are deleted in the cause of death analysis)”. In addition, variables such as gender, role importance, occupation, social stratum, religious belief, the regime to which the < strong > main role belongs, and whether or not it is abdicated are introduced into the analytical framework. Among them, the importance of roles is a very interesting grade constructed by the author.
Specifically, the method of calculating the importance of roles is as follows: