Corporate system of monitoring network informational resources based on agent-based approach

TL;DR

This paper introduces an agent-based model for monitoring internet informational resources, validated through Twitter microblog analysis, to improve corporate network resource management.

Contribution

It presents a novel agent-based approach for monitoring network resources based on microblog link analysis, with validation on real Twitter data.

Findings

Model effectively describes distribution of informational messages

Validation confirms model accuracy with real Twitter data

Highlights advantages of agent-based monitoring systems

Abstract

The paper provides a agent-based model, which describes distribution of informative messages, containing links to informational resources in the Internet. The results of modeling have been confirmed by studying a real network of Twitter microblogs. The paper describes stages of building a corporate system of monitoring network informational resources, the content of which is determined by links in microblogs. The advantages of such approach are set forth.