Open AccessSpecificity of information clustering in application to the problem of messages classification in social media
Author(s) -
Д. В. Моисеев,
Lidiya Lukina,
O S Mikhailova
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1047/1/012131
Subject(s) - cluster analysis , social media , computer science , statement (logic) , task (project management) , problem statement , big data , data science , state (computer science) , power (physics) , variable (mathematics) , data mining , artificial intelligence , world wide web , management science , political science , engineering , mathematics , physics , systems engineering , quantum mechanics , law , mathematical analysis , algorithm
The paper presents research and development materials obtained by a team of authors that co-working at the Department of information technologies and computer systems of Sevastopol state University within the framework of an internal grant “Development of agent-based modeling and big data methods for social media analysis in post-conflict societies (grant №28/06-31)». To perform the task of clustering messages in social media, it is necessary to take into account that not only the power of the clusters themselves, but also the power of many clusters can be variable relative to time intervals t i , t i +1 , …, t K . Next, we will discuss the problem statement and some aspects of decision-making on classifying messages in social media in the framework of dynamic clustering.