A survey on social media influence environment and influencers identification
Social media users can be influenced directly by their close relationships, such as their
friends, family, and colleagues. They can also be influenced by those who follow them …
friends, family, and colleagues. They can also be influenced by those who follow them …
Systematic literature review on identifying influencers in social networks
SF Seyfosadat, R Ravanmehr - Artificial Intelligence Review, 2023 - Springer
Considering the ever-increasing size and complexity of social networks, developing
methods to extract meaningful knowledge and information from users' vast amounts of data …
methods to extract meaningful knowledge and information from users' vast amounts of data …
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 …
their opinion on various topics, including breaking news, public events, and products. The …
Mapping digital marketing research in social networks: A short-term bibliometric analysis (2018-2023)
EP Rodriguez, LCE Romero - Revista de ciencias sociales, 2024 - dialnet.unirioja.es
This study delved into the world of Digital Marketing in social networks, exploring its
evolution from 2018 to April 2023 through the prism of the Scopus database. Using a …
evolution from 2018 to April 2023 through the prism of the Scopus database. Using a …
Query-oriented topical influential users detection for top-k trending topics in twitter
Abstract Online Social Networks (OSNs) have become inevitable for any new methodology
both for viral promoting applications and instructing the creation of inciting information and …
both for viral promoting applications and instructing the creation of inciting information and …
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
E Tiukhova, E Penaloza, M Óskarsdóttir… - Ieee …, 2024 - ieeexplore.ieee.org
Leveraging network information for predictive modeling has become widespread in many
domains. Within the realm of referral and targeted marketing, influencer detection stands out …
domains. Within the realm of referral and targeted marketing, influencer detection stands out …
SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web
Web authors frequently embed social media to support and enrich their content, creating the
potential to derive web-based, cross-platform social media representations that can enable …
potential to derive web-based, cross-platform social media representations that can enable …
面向社交网络的异常传播研究综述
卢昆, 张嘉宇, 张宏莉, 方滨兴 - 通信学报, 2024 - infocomm-journal.com
异常传播是当今在线社交网络中频繁出现的一种非传统的信息传播模式. 为了完整地认知社交
网络中异常传播的整体过程, 将异常传播生命周期系统归纳为潜伏期, 扩散期, 高潮期和衰退期4 …
网络中异常传播的整体过程, 将异常传播生命周期系统归纳为潜伏期, 扩散期, 高潮期和衰退期4 …
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets
Social media platforms have become an easy method of communication for many users.
Content posted on social media can influence those who are exposed to it, and users who …
Content posted on social media can influence those who are exposed to it, and users who …
[HTML][HTML] Identification of Influential Users in Online Social Network: A Brief Overview
Information networks where users join a network, publish their own content, and create links
to other users are called Online Social Networks (OSNs). Nowadays, OSNs have become …
to other users are called Online Social Networks (OSNs). Nowadays, OSNs have become …