TY - JOUR
T1 - IntelliViz : a tool for visualizing social networks with hashtags
AU - Tran, Jesse
AU - Nguyen, Quang Vinh
AU - Simoff, Simeon
PY - 2014
Y1 - 2014
N2 - Visualizing a real-time social network, such as from Twitter, can potentially discover the patterns and insight of actors' interconnectedness and interactions according to the links between actors and activities. This paper presents a novel system for an intelligent and interactive visualization of social networks with hashtags. We provide a flexible, animated and simple, yet powerful, visualization to represent activities, relations and networks of involvers associated with hashtags. The system consists of multiple phases, including data collection and processing, and interactive visualization with intelligence. Early experimental results indicate its effectiveness for real-time analyzing the property of dynamic networks based on hashtags.
AB - Visualizing a real-time social network, such as from Twitter, can potentially discover the patterns and insight of actors' interconnectedness and interactions according to the links between actors and activities. This paper presents a novel system for an intelligent and interactive visualization of social networks with hashtags. We provide a flexible, animated and simple, yet powerful, visualization to represent activities, relations and networks of involvers associated with hashtags. The system consists of multiple phases, including data collection and processing, and interactive visualization with intelligence. Early experimental results indicate its effectiveness for real-time analyzing the property of dynamic networks based on hashtags.
UR - http://handle.uws.edu.au:8081/1959.7/563828
U2 - 10.1007/978-3-319-14364-4_86
DO - 10.1007/978-3-319-14364-4_86
M3 - Article
SN - 0302-9743
VL - 8888
SP - 894
EP - 903
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
ER -