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

Autor:	Xiuliang Duan, Liqing Qiu, Chengai Sun
Rok vydání:	2022
Předmět:	Artificial Intelligence Computer Vision and Pattern Recognition Theoretical Computer Science
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
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::872ea5f5e9984d4a941d4df459db530c https://doi.org/10.3233/ida-215790 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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