Статья 'Модель независимых каскадов распространения репоста в онлайновой социальной сети' - журнал 'Кибернетика и программирование' - NotaBene.ru
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Cybernetics and programming
Reference:

Independent cascade model of reposts spreading in online social network

Toropov Boris Andreevich

PhD in Technical Science

Associate Professor at the IT Department of the Academy of Management of the Ministry of Internal Affairs of the Russian Federation

125171, Russia, g. Moscow, ul. Z.i A. Kosmodem'yanskikh, 8

torbor@mail.ru
Другие публикации этого автора
 

 

DOI:

10.7256/2306-4196.2016.5.20624

Review date:

04-10-2016


Publish date:

29-01-2017


Abstract: The article focuses on the modeling of information dissemination in online social networks through reposts. The author considers the threshold model and an independent cascade model of information spreading in network. In the context of the independent cascade model author suggests a method of estimating the probability of spreading of information for each pair of connected users. The article reviews visible activity of online social network users that affect the likelihood for a particular user to read the information message, published by one of his friends, and then make a repost. The methodology of the study is related to the mathematical modeling of social processes. To build the model the author uses elements of set theory, graph theory. The main conclusion is that of the models considered (the threshold model and the independent cascade model), which both are special cases of same generalized model, it is the independent cascade model that most accurately reflects the logic of the process of information spreading in the online social network via reposts. The scientific novelty of the work lies in the fact that using the results for independent cascade model the author provides a method for the evaluation of information transmission probabilities for each pair of connected users.


Keywords: connected users, information receiption probability, information diffusion, threshold model, independent cascades model, modeling, social network analysis, online social network, feed, repost
This article written in Russian. You can find full text of article in Russian here .

References
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