Ranking of event web­sites

DOI №______

Abstract

The article describes the methodology of automatic detection of the event basis of information operations, reflected in thematic information flows. The implementation of this methodology allows you to determine the time frame of the information operation, identify the main events that accompany the information operation, and see the techniques of information impact. Information operations in practice are supported by numerous events, processes, actions. It is assumed that a systematic violation of the typical dynamics of some thematic information flows in the open information space may indicate information operations. In the study of information operations, much attention is also paid to the analysis of the dynamics of information flows, a typical template of information operations, which allows using available analytical tools, for example, correlation analysis, to identify them. The proposed methodology for identifying the event basis of information operations covers the following stages of the research: the formation of a thematic information flow on the topic under study; investigation of the dynamics of the received flow, identification of signs of an information operation; narrowing the timeframe of the information flow, obtaining a representative sample of documents; the definition of the terminological basis for the description of events within the scope of the subject area under study. Identify sources of information about events (if necessary); cluster analysis, identify the main events that accompany the information operation. It is suggested to use as reference primary centroids of clusters certain support words that express the essence of events. The proposed approach allows simple implementation of clustering within the capabilities of the content monitoring system InfoStream. Clusters formed in this way reflect the main events occurring during information operations, provide an opportunity to identify participants in information confrontations, and methods of informational influence that disclose the technique for their implementation.

Keywords: information operations; information flows; detection of events; cluster analysis; model domain.

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