Abstract
Big data analysis techniques can make significant impacts on social trend information. Hockey is a popular sport internationally, and online communities have formed on social media websites such as Twitter. This paper aims to investigate information available on Twitter about users connected to hockey. It also aims to explain Twitter data collection processes and the significance of social media information collection. Using a set of routines developed by the authors in python 3.3 and with the Twitter 1.16 API, 25,189 messages (“tweets”) matching hockey keywords were collected. From it, further information about users’ tweeting habits and the overall communities’ habits were found. The highest percentages of frequent tweeting about hockey was during large sports events not directly related to hockey.
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