DocumentCode
3563803
Title
Visualization of spread of topic words on Twitter using stream graphs and relational graphs
Author
Amma, Keigo ; Wada, Shunsuke ; Nakayama, Kanto ; Akamatsu, Yuki ; Yaguchi, Yuichi ; Naruse, Keitaro
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of Aizu, Aizu-Wakamatsu, Japan
fYear
2014
Firstpage
761
Lastpage
764
Abstract
In this paper, we examine occurrences, cooccurrences, and characteristics for influence and meaning of words by visualizing large amounts of data from Twitter. We classified words using morphological analysis of tweets and developed a stream graph by finding the frequency of each word. We analyzed the co-occurrence of words using quantification methods of the fourth type to find relationships and showed distances between words in a similarity graph. We present examples of the relationships found by our analysis.
Keywords
data visualisation; graph theory; social networking (online); Twitter; relational graphs; stream graphs; topic words visualization; Data visualization; Games; Image color analysis; Market research; Sports equipment; Time-frequency analysis; Twitter; Twitter analysis; relational graph; stacked graph; stream graph; visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
Type
conf
DOI
10.1109/SCIS-ISIS.2014.7044759
Filename
7044759
Link To Document