Corporate system of network information resources monitoring based on multi-agent approach

Dmytro Lande, Vadym Dodonov, Taras Kovalenko

Abstract


In article the multi-agent model of distribution of the information messages containing references to information resources on the Internet is provided. Characteristics of growth of quantity of special retweets of the chosen messages were analyzed. Distribution of retweets in this case, as well as in model, corresponded to standard distribution of Weibull. Stages of corporate system of network information monitoring resources creation which structure is determined by references in microblogs are described. As a result of the described researches the multi-agent model of distribution of the information messages containing references to information resources in the Internet is constructed. Results of modeling are checked by research of a real network of microblogs Twitter. The found regularities can be used when forming databases of information and analytical systems, when studying anomalies in statistics of references to separate information materials, and respectively, and in identification of information transactions, artificially supported information campaigns. The provided approach has such advantages: Efficiency – the information message is included in the database of information and analytical system in real time; Spanning of the principal information materials on a subject; A possibility of ranging of information materials proceeding from interests of users of social networks;  Compactness of databases, convenience of access for ultimate users. Predictability of volumes of databases, dynamics of their filling; Technological compatibility with the existing information and analytical systems and systems of content monitoring; Possibility of identification of information campaigns, operations.


Keywords


Social network; modeling; information resources monitoring; multi-agent system; information dissemination.

References


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ISSN 2411-1031 (Print), ISSN 2518-1033 (Online)