TY - GEN
T1 - Comparison of measurements by the betweenness centrality and subjective experiment on the word priority of tweets
AU - Takagi, Kosuke
AU - Tago, Kiichi
AU - Ito, Kenichi
AU - Jin, Qun
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - In recent years, it is very popular to use Twitter as an interaction tool and for information transmission and sharing as well. It is more difficult for us to understand the interaction flow on Twitter than the usual dialogue and conversation. But it will become easier to catch the interaction flow if we can focus on the priority words of Tweets. As we know, the word priority of Tweets can be measured by the betweenness centrality based on the word co-occurrence network. However, it is unknown whether the word priority measured by the betweenness centrality is the same to what the Twitter users think or not, which has not yet been well studied. In this study, we design an experiment to compare the measurement calculated by the betweenness centrality and the evaluation given by subjects. We further analyze their difference by statistical methods. Our result shows that the measurement determined by the betweenness centrality does not always match the subjective evaluation, but they tend to have a positive correlation. Particularly, proper nouns and words with long characters are more likely to be regarded higher priority than the betweenness centrality.
AB - In recent years, it is very popular to use Twitter as an interaction tool and for information transmission and sharing as well. It is more difficult for us to understand the interaction flow on Twitter than the usual dialogue and conversation. But it will become easier to catch the interaction flow if we can focus on the priority words of Tweets. As we know, the word priority of Tweets can be measured by the betweenness centrality based on the word co-occurrence network. However, it is unknown whether the word priority measured by the betweenness centrality is the same to what the Twitter users think or not, which has not yet been well studied. In this study, we design an experiment to compare the measurement calculated by the betweenness centrality and the evaluation given by subjects. We further analyze their difference by statistical methods. Our result shows that the measurement determined by the betweenness centrality does not always match the subjective evaluation, but they tend to have a positive correlation. Particularly, proper nouns and words with long characters are more likely to be regarded higher priority than the betweenness centrality.
KW - Betweenness centrality
KW - Co occurrence network
KW - Morphological analysis
KW - Tweets
KW - Wilcoxon signed rank test
UR - http://www.scopus.com/inward/record.url?scp=85060317207&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060317207&partnerID=8YFLogxK
U2 - 10.1109/SmartWorld.2018.00324
DO - 10.1109/SmartWorld.2018.00324
M3 - Conference contribution
AN - SCOPUS:85060317207
T3 - Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
SP - 1936
EP - 1941
BT - Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
A2 - Loulergue, Frederic
A2 - Wang, Guojun
A2 - Bhuiyan, Md Zakirul Alam
A2 - Ma, Xiaoxing
A2 - Li, Peng
A2 - Roveri, Manuel
A2 - Han, Qi
A2 - Chen, Lei
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
Y2 - 7 October 2018 through 11 October 2018
ER -