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2021 ◽  
Vol 13 (12) ◽  
pp. 14
Author(s):  
Xiangjin Xiao ◽  
Manoch Prompanyo

In this study, the author collaboration network is established by taking the national social science fund papers in the field of intelligence science included in CSSCI as the data source and the paper collaboration relationship of high-yielding authors as the research object. The connection structure and influence of nodes in the network are analyzed by using the Ego-network analysis method, and the network size, intensity, density of high-yielding author ego-network and the relationship with the influence of academic influence of researchers are found out. Measures of academic influence were also validated analytically. The size of collaboration network and the strength of connection between network members of researchers are positively correlated with academic influence, and there is an inverted U-shaped relationship between network density and academic influence. Finally, this study proposes suggestions on how researchers can strengthen academic collaboration to enhance academic influence.


2021 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Shuxu Cao

<p>With the continuous development of science and technology, although artificial intelligence has become the norm, if artificial intelligence science and technology are applied to mobile communications, it will be a huge technological leap. Some companies use artificial intelligence to analyze their faults and early warnings, so that they can effectively communicate between communications. This kind of contact method mainly relies on the analysis of personnel, and finds out the cause of the fault through network positioning, so as to realize the connection between the networks and the early warning of the communication network. By building system equipment to realize remote operation and control support communication, communication can be effectively realized.</p>


2021 ◽  
Author(s):  
David R. Mandel

This paper examines intelligence analysis as a form of reasoning and judgment under conditions of uncertainty. As such it is susceptible to cognitive and motivational biases. I examine how the intelligence community has attempted to mitigate such biases and comment on the fact that it has adopted a fundamentally prescientific approach. Recent psychological studies that shed light on the effectiveness of intelligence community policies and practices are reviewed.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shuqing Li ◽  
Li Ding ◽  
Xiaowei Ding ◽  
Huan Hu ◽  
Yu Zhang

PurposeWith the continuous change of research contents and methods of intelligence science, its integration with other disciplines is also deepening. The purpose of this paper is to further explore the interdisciplinary research characteristics of intelligence science in theoretical depth and application value.Design/methodology/approachThis paper summarizes and explores in two aspects. The first is a large number of literature review, mainly combined with the historical characteristics of the development of intelligence science researches in China and international comparison. The second is to refine the discipline construction ideas suitable for the development of contemporary intelligence science.FindingsFrom the perspective of the historical development of discipline relevance, the development characteristics and positioning of intelligence science in China are introduced, with the comparison of many disciplines including information technology, library science, information science, data science, management science and other disciplines. In order to better meet the practical needs of intelligence service in the new era, this paper mainly analyzes the construction method of intelligence science research system and the relocation of intelligence science research content.Originality/valueThis paper summarizes the historical characteristics and international comparison of the development of intelligence science in China. It proposes the development characteristics and orientation of intelligence science in China from the perspective of historical development of discipline relevance. It also proposes the discipline construction ideas suitable for the development of contemporary intelligence science.


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