DocumentCode :
1798349
Title :
Visualization and pattern discovery of social interactions and repost propagation in Sina Weibo
Author :
Xuming Huang ; Cong Quan ; Shuwei Liu ; Yuanyuan Man
Author_Institution :
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, China
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
1401
Lastpage :
1408
Abstract :
Many researchers focus on analysis of social interactions and information propagation, but they do not provide results in an intuitive way that helps people understand easily. In this paper, we aim to visualize social interactions of a group of users and repost propagation in Sina Weibo, and seek for patterns from visualization. We propose a new definition to formulate the relationship between users, which reflects their social interactions. We then visualize the data with the help of multidimensional scaling. The result shows an interesting pattern that social interactions among people change corresponding to significant events. Moreover, we visualize repost propagation of hot weibo posts in Sina Weibo. We discover that repost propagation is explosive in the very first time period. And authorized user accounts are helpful for faster and wider propagation. We later choose another popular repost case to support our finding.
Keywords :
data mining; data visualisation; pattern recognition; social networking (online); social sciences computing; Sina Weibo; information propagation; multidimensional scaling; pattern discovery; social interaction visualization; social interactions; Crawlers; Data visualization; Member and Geographic Activities Board committees; Niobium; Transforms; Twitter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
Type :
conf
DOI :
10.1109/IJCNN.2014.6889910
Filename :
6889910
Link To Document :
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