Detecting cyber threats through social network analysis: short survey
It provides a concise overview for researchers or practitioners interested in applying social network analysis to cybersecurity, but it is incremental as a survey.
This paper surveys existing methods of social network analysis for detecting cyber threats, describing basic graph theory and data mining techniques applied to tasks like community detection and expert identification.
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.