Visual Analysis on the Situation of Counter-Terrorism Intelligence Research in China

The globalization of terrorism has become increasingly, posing a serious challenge to world-wide counter-terrorism work. Based on the collection of bibliographies from 605 anti-terrorism information periodicals, this paper makes basic statistical analysis on high frequency terms by using the SATI software and the measurement visualization function of the new KNS 6.6. Based on the principles and methods of co-word analysis and social network analysis, the co-occurrence network analysis, centrality analysis, cluster analysis and multidimensional scaling analysis of keywords in counter-terrorism intelligence research are carried out. The results show that China's counter-terrorism work did not reach high development until 2013, and the system of cooperation between researchers has not fully formed for this reason. We found that now our research is focused on the characteristics of China's terrorism, instead of the development of research on United States' anti-terrorism. The result of Multidimensional Scaling Analysis also shows that relying on international cooperation in the fight against terrorism and using Big Data Technology to obtain counter-terrorism intelligence are not only hot research topics, but also main trends for counter-terrorism research in the future.