Online Creativity Modeling and Analysis Based on Big Data of Social Networks

被引：5

作者：

Ivaschenko, Anton ^{[1
]}

Khorina, Anastasia ^{[1
]}

Sitnikov, Pavel ^{[2
]}

机构：

[1] Samara Natl Res Univ, Informat Syst & Technol Dept, Samara, Russia

[2] ITMO Univ, Innovat Dept, Appl Programming & Technol, St Petersburg, Russia

来源：

INTELLIGENT COMPUTING, VOL 1 | 2019年 / 858卷

关键词：

Big data; Internet; Social networks; Tag clouds;

D O I：

10.1007/978-3-030-01174-1_25

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an original model and approach to capture the trends of Internet user's activity evolution in time considering the personal features. The proposed model is based on a set of concepts including log, focus, context, and overlay context and is used for approximation of Internet users' behavior. Software solution was developed for social networks Big Data analysis that provides identification of positive and negative trends in users' focus evolution. The proposed approach is illustrated by the results of open data analysis taken from Gartner statistics, Wikipedia and social networks.

引用

页码：329 / 337

页数：9

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