New trends in influence maximization models

M Azaouzi, W Mnasri, LB Romdhane - Computer Science Review, 2021 - Elsevier
The growing popularity of social networks is providing a promising opportunity for different
practical applications. The influence analysis is an essential technique supporting the …

Measuring social media influencer index-insights from Facebook, Twitter and Instagram

A Arora, S Bansal, C Kandpal, R Aswani… - Journal of retailing and …, 2019 - Elsevier
The growth of social media has completely revamped the way people interact, communicate
and engage. These platforms play a key role in facilitating greater outreach and influence …

Topological to deep learning era for identifying influencers in online social networks: a systematic review

Y Rashid, JI Bhat - Multimedia Tools and Applications, 2024 - Springer
Influential user detection in social media networks involves identifying users who have a
significant impact on the network's dynamics and can shape opinions and behaviours of …

[PDF][PDF] Viralitas konten di media sosial

L Agustina - Majalah Semi Ilmiah Populer Komunikasi Massa, 2020 - researchgate.net
Dewasa ini istilah viral menjadi salah satu hal yang selalu dikaitkan dengan konten-konten
yang ada di media sosial. Konten-konten yang menjadi viral ini seringkali memiliki daya …

Influence of media on the political conversation on Twitter: Activity, popularity, and authority in the digital debate in Spain

A Casero-Ripollés - 2020 - papers.ssrn.com
Traditionally media (newspapers, television stations, radio networks, and news agencies)
have exerted a great influence on society, but their role is changing in the face of the …

A survey on influence maximization models

M Jaouadi, LB Romdhane - Expert Systems with Applications, 2024 - Elsevier
Influence maximization is an important research area in social network analysis where
researchers are concerned with detecting influential nodes. The detection of influential …

An insight into topological, machine and Deep Learning-based approaches for influential node identification in social media networks: a systematic review

Y Rashid, JI Bhat - Multimedia Systems, 2024 - Springer
Online social networks are social interaction platforms having dynamic nature with billions of
users around the world. Online social communications among its multiple users cause a …

Measuring user influence in real-time on twitter using behavioural features

MAU Hasan, AA Bakar, MR Yaakub - Physica A: Statistical Mechanics and …, 2024 - Elsevier
Identifying influential users in online social networks, specifically Twitter, has drawn
considerable research interest due to their profound influence on real-world events. Existing …

Detecting topic-based communities in social networks: A study in a real software development network

VAC Horta, V Ströele, J Oliveira, R Braga… - Journal of Web …, 2022 - Elsevier
In social network analysis, a key issue is the detection of meaningful communities. This
problem consists of finding groups of people who are both connected and semantically …

The Role of Twitter in Media Coverage during Humanitarian Crises. Data mining from International News Agencies

A Torres-Toukoumidis, SE Calle-Pesántez… - … on Information and …, 2023 - Springer
This study examines the use of Twitter during humanitarian crises and its impact on public
opinion. The study analyzed over 3262 tweets related to crisis, war, tragedy, violence, riot …