A New Approach for Measuring the Influence of Users on Twitter

被引：1

作者：

Dinh Tuyen Hoang ^{[1
]}

Collins, Botambu ^{[1
]}

Ngoc Thanh Nguyen ^{[2
]}

Hwang, Dosam ^{[1
]}

机构：

[1] Yeungnam Univ, Dept Comp Engn, Gyongsan, South Korea

[2] Wroclaw Univ Sci & Technol, Fac Comp Sci & Management, Wroclaw, Poland

来源：

INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2021 | 2021年 / 12672卷

关键词：

Twitter influence; Influential user; Twitter analytics; FRAMEWORK;

D O I：

10.1007/978-3-030-73280-6_28

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Social networks are increasingly proving to be the core of today's web. Identifying the influence on social networks is an area of research that presents many open issues. The challenge is finding ways that can effectively calculate and classify users according to criteria that suit them closer to reality. In this paper, we proposed a new method for measuring user influence on social networks. The influence of a user measures by taking into account the activity and the popularity of the user. We use Twitter as a case study for our method. Experiments show that our method achieves promising results in comparison to other methods.

引用

页码：351 / 361

页数：11

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