Abstract
This article considers a short survey of basic methods of social networks analysis, which are used for detecting cyber threats. The main types of social network threats are presented. Basic methods of graph theory and data mining, that deals with social networks analysis are described. Typical security tasks of social network analysis, such as community detection in network, detection of leaders in communities, detection experts in networks, clustering text information and others are considered.
Highlights
The use of the Internet social networks makes it possible to communicate with old friends, make new acquaintances, express their thoughts on a very wide audience, join groups of interest
The interest of researchers relates to the fact that it provides a new set of explanatory models and analytical tools that are outside the ordinary quantitative methods
This article presents a consist overview of main social network analysis (SNA) methods, which are used for information security
Summary
The use of the Internet social networks makes it possible to communicate with old friends, make new acquaintances, express their thoughts on a very wide audience, join groups of interest. The sensitive geopolitical context, the rise of cyberattacks and major data breaches and hacks, as well as the global insurgency of violent extremism and radicalization have led many countries to the adoption of security measures and counterterrorism laws that have increased scrutiny and restrictions on the participation of societal actors [87]. In this case many countries in the world create the National Cyber Security Centres and Cyber Security Strategy Documents [68, 69, 89, 97]. The basic directions for studies in the field of social networks security are given; at the moment the most popular computer social networking are described; main methods and algorithms used in various network analysis models are briefly presented; primary approaches to network analysis are shown; some typical tasks of social network analysis are given
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