Measuring user influence on Twitter: A survey

F Riquelme, P González-Cantergiani - Information processing & …, 2016 - Elsevier
Centrality is one of the most studied concepts in social network analysis. There is a huge
literature regarding centrality measures, as ways to identify the most relevant users in a …

Multi-contextual learning in disinformation research: A review of challenges, approaches, and opportunities

B Das - Online Social Networks and Media, 2023 - Elsevier
Though a fair amount of research is being done to address disinformation in online social
media, it has so far managed to stay ahead of the researchers' learning curves forcing the …

Influential user weighted sentiment analysis on topic based microblogging community

AB Eliacik, N Erdogan - Expert Systems with Applications, 2018 - Elsevier
Nowadays, social microblogging services have become a popular expression platform of
what people think. People use these platforms to produce content on different topics from …

Topic-based influential user detection: a survey

R Panchendrarajan, A Saxena - Applied Intelligence, 2023 - Springer
Online Social networks have become an easy means of communication for users to share
their opinion on various topics, including breaking news, public events, and products. The …

Influential post identification on Instagram through caption and hashtag analysis

B Bashari, E Fazl-Ersi - Measurement and Control, 2020 - journals.sagepub.com
Influencer marketing through social networks is becoming an important alternative to
traditional ways of advertising. Various solutions have been proposed that often take …

Finding influential users in microblogs: state-of-the-art methods and open research challenges

U Ishfaq, HU Khan, S Iqbal… - Behaviour & Information …, 2022 - Taylor & Francis
Social networks are online platforms that people use for interaction, information sharing and
propagation of new ideas. Finding influential users in online social networks is a significant …

Topic-based social influence measurement for social networks

A Hamzehei, S Jiang, D Koutra, R Wong… - Australasian Journal of …, 2017 - journal.acs.org.au
Social science studies have acknowledged that the social influence of individuals is not
identical. Social networks structure and shared text can reveal immense information about …

Detecting spammers on Twitter based on content and social interaction

H Shen, X Liu - 2015 International Conference on Network and …, 2015 - ieeexplore.ieee.org
Twitter has become a target platform on which spammers spread large amounts of harmful
information. These malicious spamming activities have seriously threatened normal users' …

Identification of influential online social network users based on multi-features

Q Sun, N Wang, Y Zhou, Z Luo - International Journal of Pattern …, 2016 - World Scientific
The problem of discovering influential users is important to understand and analyze online
social networks. The user profiles and interactions between users are significant features to …

Discovering hidden topical hubs and authorities across multiple online social networks

RKW Lee, TA Hoang, EP Lim - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Finding influential users in online social networks (OSNs) is an important problem with many
possible useful applications. Many methods have been proposed to identify influential users …