A survey on social media influence environment and influencers identification

F Gammoudi, M Sendi, MN Omri - Social Network Analysis and Mining, 2022 - Springer
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 …

Social network analysis of Twitter interactions: a directed multilayer network approach

AP Logan, PM LaCasse, BJ Lunday - Social Network Analysis and Mining, 2023 - Springer
Effective employment of social media for any social influence outcome requires a detailed
understanding of the target audience. Social media provides a rich repository of self …

[PDF][PDF] Ekstraksi Knowledge tentang Penyebaran# Ratnamiliksiapa pada Jejaring Sosial (Twitter) menggunakan Social Network Analysis (SNA)

L Tomasoa, A Iriani, I Sembiring - Jurnal Teknologi Informasi Dan Ilmu …, 2019 - core.ac.uk
Abstrak Memasuki tahun politik 2018-2019, Indonesia mengalami darurat hoax dimana isu-
isu politik menyebar dengan sangat cepat terutama pada jejaring sosial yang merupakan …

Influence of social bots in information warfare: A case study on@ UAWeapons Twitter account in the context of Russia–Ukraine conflict

Q Li, Q Liu, S Liu, X Di, S Chen… - Communication and the …, 2023 - journals.sagepub.com
During the Russia–Ukraine conflict, social media has become an outlet for public opinion;
therefore, besides the hot war, information warfare is also taking place. It was discovered …

Constructing a multi-layer heterogeneous networks model to explore the public opinion evolution pattern of key users in public health emergencies

T Li, Z Zeng, S Sun, J Sun, Q Li - Journal of Information …, 2023 - journals.sagepub.com
This article aims to discover key users in public health emergencies and explore their public
opinion evolution patterns, thus providing theoretical support for the establishment of a clear …

[PDF][PDF] Social Media Analytics: An Overview of Applications and Approaches.

Z Khanjarinezhadjooneghani, N Tabrizi - KDIR, 2021 - scitepress.org
Users' activities on social media generate useful and valuable information about the general
public that can be used in policymaking and the decision-making processes. In this paper …

A hybrid machine learning-optimization framework for modeling supply chain competitive pricing problem under social network advertising

A Yousefi, MS Pishvaee, B Amiri - Expert Systems with Applications, 2024 - Elsevier
Designing a system to improve the performance of the supply chain by linking pricing and
advertising will bring significant benefits to the supply chain components. Due to the …

Influencer Detection Through Social Network Analysis on Twitter of the Indonesian Smartphone Industry

RFP Sinaga, I Budi - International Conference on Intelligent Technologies, 2022 - Springer
In the modern era, the company's marketing strategy has included the use of social media to
increase product sales. For a business, social media can give both tangible and intangible …

[PDF][PDF] Detection of influencers in social networks: A Survey

AA AbdulAmeer, MA Mahdi, MA Salman - Journal of Kufa for Mathematics …, 2023 - iasj.net
Social media influencers have the power to influence others. Identifying influencers in online
social networks is essential for various applications in many domains such as …

Analysis and Response Strategy of Cross-Community Rumors Using Mixed Multilayer Method for Enterprise Cyber Warriors

YW Ma, CY Chang, YN Chiang, JL Chen… - IEEE …, 2022 - ieeexplore.ieee.org
In the age of information explosion, it is easy for people to receive many messages, and it is
difficult to verify the authenticity of each message. Therefore, people often quickly and …