A Review on Influence Dissemination in Social Networks - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

A Review on Influence Dissemination in Social Networks

Résumé

Influence dissemination research is a key issue in information dissemination in social networks. Due to the practical significance of influence analysis in marketing, advertising, personalized recommendation, and public opinion monitoring, researchers have investigated the problem from different perspectives and proposed solutions. In this paper, we review the influence propagation in social networks and conclude that the existing research uses three main approaches, network topology analysis, greedy algorithms, and heuristic algorithms. Also, according to the purpose of the research, we divided the existing literature into three categories, individual influence analysis, community mining, and influence maximization. Finally, based on state-of-the-art research, we unveil current weaknesses and future research directions.
Fichier principal
Vignette du fichier
A Review on Influence Dissemination in Social Networks_version auteur.pdf (445.98 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04188160 , version 1 (25-08-2023)

Identifiants

  • HAL Id : hal-04188160 , version 1

Citer

Mengji Yang, Aicha Seklouli-Sekhari, Haiqing Zhang, Lijuan Ren, Xi Yu, et al.. A Review on Influence Dissemination in Social Networks. 2023 The 3rd International Conference on Big Data Engineering and Education (BDEE 2023), chengdu university, Aug 2023, Chengdu, China. ⟨hal-04188160⟩
61 Consultations
47 Téléchargements

Partager

Gmail Facebook X LinkedIn More