Nonlinear properties of agent-based news distribution model

Lande, Dmytro; Dodonov, V. A.

doi:10.20535/2411-1031.2016.4.2.109908

Search citation statements

Order By: Relevance

Paper Sections

Select...

Literature Review1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

2021

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Agents in social networks can include users, communities, groups, etc., between which the exchange of information is realized. Note that in some scientific publications [11,12], various messages are considered as agents. These messages, in fact, are the information exchanged between users of social networks.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling of Information Processes in Social Networks

2021

View full text Add to dashboard Cite

In order to model information dissemination in social networks, a special methodology of sampling statistical data formation has been implemented. The probability distribution laws of various characteristics of personal and group accounts in four social networks are investigated. Stochastic aspects of interrelations between these indicators were analyzed. The classification of groups of social network users is proposed, and their characteristic features and main empirical regularities of mutual transitions are marked. Regression models of forecasting changes in the number of users of the selected groups have been obtained.

show abstract

Section: Literature Reviewmentioning

confidence: 99%