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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sheng Bi Jianbo Gao Yandon Wang Yinhe Cao |
| Copyright Year | 2015 |
| Description | Author affiliation: Inst. of Complexity Sci. & Big Data Technol., Guangxi Univ., Nanning, China (Sheng Bi; Jianbo Gao; Yandon Wang; Yinhe Cao) |
| Abstract | Determining the influence or strength of a country has become increasingly important for the world's politics, economics, culture, foreign policy, international trade, military, among others. While the issue has been tackled by researchers for decades, the results obtained so far have been largely static and unsatisfactory. By constructing daily matrices from a massive political events data, the Global database of events, location (language), and tone (GDELT), which covers all the political events data (over 300 million) since 1979, we report a scheme for quantifying the degree of activity of each country based on singular value decomposition of the matrices. Such media-based activity measure reflects to a good degree the strength or influence of a country, though the relation between this activity measure and the influence/strength of a country may not be linear. We show that among the three major powers, USA, Russian, and China, USA is not only consistently ranked first, but also its activity has been dramatically increasing since 2003. This highly suggests that the commonly believed decay of US power is more psychological than factual. The rate of increasing activity of USA has become negative around 2010, after its plan to largely end the war in Iraq and Afghanistan. |
| Starting Page | 38 |
| Ending Page | 42 |
| File Size | 2269425 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781467387835 |
| DOI | 10.1109/BESC.2015.7365955 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Psychology World Wide Web Yttrium |
| Content Type | Text |
| Resource Type | Article |
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