文章基本信息

标题：ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY
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作者：Yu. V. Trushina ; M. N. Belousova ; E. Yu. Belova 等
期刊名称：Вестник университета
印刷版ISSN：1816-4277
电子版ISSN：2686-8415
出版年度：2020
期号：11
页码：157-164
DOI：10.26425/1816-4277-2020-11-157-164
摘要：When introducing a new product or service to the market, a manufacturer or retailer is faced with the need to develop a promotion strategy. Taking into account the recent trends in e-commerce and social media marketing, it makes sense to evaluate the possibility of borrowing promotion strategies from producers of abstract, potentially monetized electronic content. The article considers the activity of advertising bots using the example of the social network Facebook. The paper carries out an autocorrelation analysis of the observation results and reveals the frequency of automated requests to the user by advertising bots. The authors construct an autoregressive model of the dynamics of the activity of advertising bots and verbalize Facebook’s strategy to increase traffic to the information space controlled by the social network.
关键词：автокорреляция;авторегрессия;динамика;коррелограмма, модель;прогнозирование;рекламные боты;социальные сети.