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Title:
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TWTRENDS: THE TOPIC-GRAPH EXTRACTION FROM TWITTER TRENDS |
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Author(s):
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Jun Iio |
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ISBN:
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978-989-8533-94-4 |
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Editors:
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Pedro Isaías |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Twitter, Trending Topics, Co-Occurrence Network, Topic Map, Trends Visualization, Social Network Graph |
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Type:
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Full Paper |
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First Page:
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69 |
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Last Page:
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77 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Twitter provides a list of trending topics, a list of social trends or issues that users of the social networking services (SNS)
will be interested in at a given time. However, they are presented as a list of key phrases making it challenging to identify
or infer the message of the trending topics. In an attempt decipher the meaning and the structure hidden in the list of trending
topics provided by Twitter, we developed a system to visualize topic maps according to the co-occurrence structure of
typical tweets that mention the trending topics. This paper describes an overview of the system structure, the main logic to
construct topic maps, and findings from its operation from the 1st of January 2019 to 30th of June 2019. |
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