TY - GEN
T1 - Attention allocation of twitter users in geopolitics
AU - He, Saike
AU - Li, Changliang
AU - Wang, Hailiang
AU - Zheng, Xiaolong
AU - Zhang, Zhu
AU - Wang, Jiaojiao
AU - Zeng, Daniel
N1 - Funding Information:
This work was supported in part by the following grants: the National key R&D program of China under Grant Nos. 2017YFC1200302, 2016QY02D0305, 2017YFC0820105, the National Natural Science Foundation of China under Grant Nos. 71602184, 71472175, 71603253, 71621002, 71702181, and the Ministry of Health of China under Grant No. 2017ZX10303401-002.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - How people divide their attention across their friends can help to understand key issues in the realm of geopolitics. Such attention exploration allows us to compare people who focus a large portion of their attention on a small set of close friends with those disperse their attention more widely. Using 2.5 million twitter data written by 130 thousands users, we find the balance of attention is a relatively stable property of people across different modalities of interaction. It displays subtle variation across people with different characteristics and different modalities of interaction. Specifically, people's attention is more focused in mention interactions, while those active in socialization tend to allocate higher portion of total attention to their close friends. Besides external interactions, people's inner interests also affect their attention allocation. People spreading multiple memes tend to be focused, and those with more even distribution of memes are focused on their intimate friends. Finally, people's relationships also plays an important role in their attention allocation. People are more likely to focus their attention on those most like them, and this similarity sequentially enhances the intimate relationship between them.
AB - How people divide their attention across their friends can help to understand key issues in the realm of geopolitics. Such attention exploration allows us to compare people who focus a large portion of their attention on a small set of close friends with those disperse their attention more widely. Using 2.5 million twitter data written by 130 thousands users, we find the balance of attention is a relatively stable property of people across different modalities of interaction. It displays subtle variation across people with different characteristics and different modalities of interaction. Specifically, people's attention is more focused in mention interactions, while those active in socialization tend to allocate higher portion of total attention to their close friends. Besides external interactions, people's inner interests also affect their attention allocation. People spreading multiple memes tend to be focused, and those with more even distribution of memes are focused on their intimate friends. Finally, people's relationships also plays an important role in their attention allocation. People are more likely to focus their attention on those most like them, and this similarity sequentially enhances the intimate relationship between them.
KW - Attention allocation
KW - Causality analysis
KW - Geopolitics
KW - Homophily
UR - http://www.scopus.com/inward/record.url?scp=85072952267&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072952267&partnerID=8YFLogxK
U2 - 10.1109/ISI.2019.8823342
DO - 10.1109/ISI.2019.8823342
M3 - Conference contribution
AN - SCOPUS:85072952267
T3 - 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019
SP - 1
EP - 6
BT - 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019
A2 - Zheng, Xiaolong
A2 - Abbasi, Ahmed
A2 - Chau, Michael
A2 - Wang, Alan
A2 - Zhou, Lina
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019
Y2 - 1 July 2019 through 3 July 2019
ER -