Activeness of Syrian refugee crisis: An analysis of tweets
K Ladner, R Ramineni, KM George - Social Network Analysis and Mining, 2019 - Springer
K Ladner, R Ramineni, KM George
Social Network Analysis and Mining, 2019•SpringerIn this paper, we propose and apply a method to analyze the activeness of an event based
on related tweets. The method characterizes and measures activeness of an event by a set
of indicators. The indicators proposed in this paper are original tweet count, retweet count,
follower count, positive sentiment, negative sentiment, daily change in users count, and
sparseness of user community. We present procedures to compute the last two indicators.
All indicators collectively are used to determine the activeness of an event. This approach is …
on related tweets. The method characterizes and measures activeness of an event by a set
of indicators. The indicators proposed in this paper are original tweet count, retweet count,
follower count, positive sentiment, negative sentiment, daily change in users count, and
sparseness of user community. We present procedures to compute the last two indicators.
All indicators collectively are used to determine the activeness of an event. This approach is …
Abstract
In this paper, we propose and apply a method to analyze the activeness of an event based on related tweets. The method characterizes and measures activeness of an event by a set of indicators. The indicators proposed in this paper are original tweet count, retweet count, follower count, positive sentiment, negative sentiment, daily change in users count, and sparseness of user community. We present procedures to compute the last two indicators. All indicators collectively are used to determine the activeness of an event. This approach is used to analyze the Syrian-refugee-crisis-related tweets. Its generality is demonstrated by applying it to analyze “immigration”-related tweets.
Springer
Showing the best result for this search. See all results