TSPS: A Topic based Shortest Path Set algorithm for influence maximization

Autor: Xiuliang Duan, Liqing Qiu, Chengai Sun
Rok vydání: 2022
Předmět:
Zdroj: Intelligent Data Analysis. 26:469-480
ISSN: 1571-4128
1088-467X
DOI: 10.3233/ida-215790
Popis: This paper focuses on the influence maximization problem in social networks, which aims to find some influence nodes that maximize the spread of information. Most existing achievements usually adopt a uniform propagation probability, without considering the topic information. Moreover, the classic Independent Cascade Model and its approximations have suffered from much running time. To overcome this limitation, this paper proposed a Topic based Shortest Path Set algorithm (TSPS). Additionally, a comprehensive set of experiments are conducted on large real-world networks, showing that our proposal provides more impressive results in the aspects of influence spread and running time.
Databáze: OpenAIRE
Nepřihlášeným uživatelům se plný text nezobrazuje
načítá se...