Friendship paradox and hashtag embedding in the instagram social network
Date Issued
2019-10-17
Author(s)
Serafimov, David
Abstract
Instagram is a social networking platform which gained popularity even faster than most of the other modern online social networks.
It is relatively newer and less explored than other social networks, such
as Facebook and Twitter. Therefore, we have conducted a research based
on a sample data set extracted through the Instagram weekend hashtag
project, in order to unveil some of its characteristics. First, we reveal
the various forms of friendship paradox present in Instagram, which are
often observed in social networks. Then, we conduct a detailed hashtag
analysis and provide a method for hashtag representation and recommendation using natural language processing.
It is relatively newer and less explored than other social networks, such
as Facebook and Twitter. Therefore, we have conducted a research based
on a sample data set extracted through the Instagram weekend hashtag
project, in order to unveil some of its characteristics. First, we reveal
the various forms of friendship paradox present in Instagram, which are
often observed in social networks. Then, we conduct a detailed hashtag
analysis and provide a method for hashtag representation and recommendation using natural language processing.
Subjects
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