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Decoding the Popularity of TV Series: A Network Analysis Perspective: Abstract and Introduction
Manage episode 427548515 series 3474160
This story was originally published on HackerNoon at: https://hackernoon.com/decoding-the-popularity-of-tv-series-a-network-analysis-perspective-abstract-and-introduction.
In this study, researchers attempt to understand the psychology behind TV ratings through character networks, and the different interactions between characters.
Check more stories related to media at: https://hackernoon.com/c/media. You can also check exclusive content about #tv-ratings, #computational-linguistics, #character-networks, #network-analysis, #tv-series, #popularity-of-tv-series, #show-ratings, #character-network-analysis, and more.
This story was written by: @kinetograph. Learn more about this writer by checking @kinetograph's about page, and for more stories, please visit hackernoon.com.
In this study, researchers attempt to understand the psychology behind TV ratings through character networks, and the different interactions between characters.
166 episodios
Manage episode 427548515 series 3474160
This story was originally published on HackerNoon at: https://hackernoon.com/decoding-the-popularity-of-tv-series-a-network-analysis-perspective-abstract-and-introduction.
In this study, researchers attempt to understand the psychology behind TV ratings through character networks, and the different interactions between characters.
Check more stories related to media at: https://hackernoon.com/c/media. You can also check exclusive content about #tv-ratings, #computational-linguistics, #character-networks, #network-analysis, #tv-series, #popularity-of-tv-series, #show-ratings, #character-network-analysis, and more.
This story was written by: @kinetograph. Learn more about this writer by checking @kinetograph's about page, and for more stories, please visit hackernoon.com.
In this study, researchers attempt to understand the psychology behind TV ratings through character networks, and the different interactions between characters.
166 episodios
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