Abstract—The passing of His Majesty King Bhumibol Adulyadej in 2016 caused phenomena of Twitter in several aspects, for example, number of tweets and retweets, semantic of tweets which were different from other events, occurrence of various small events, characteristics of retweet behavior in several groups of users, and characteristics of the distribution of users based on geolocation. To analyze these phenomena, we designed our research using Web Crawlers and Twitter Advanced Search (https://twitter.com/search-advanced) to collect and analyze tweets. We started our tweets collecting by keywords and hashtags relating to King Bhumibol Adulyadej. From the data, we have found that several events that were not the main ones are also interesting. Hence, we propose a method which can extract small events from tweets. Moreover, we analyzed users’ behavior comparing to tweets in normal situations and explored the distribution based on geolocation embedded in the tweets.
Index Terms—Twitter, social media mining, clustering of tweets.
The authors are with Chulalongkorn University, Thailand (e-mail: araya.pu@student.chula.ac.th, sukree.s@chula.ac.th).
Cite: Araya Pudtal and Sukree Sinthupinyo, "An Analysis of Twitter in the Passing of His Majesty King Bhumibol Adulyadej," International Journal of Machine Learning and Computing vol. 7, no. 6, pp. 187-193, 2017.