A comprehensive overview of micro-influencer marketing: Decoding the current landscape, impacts, and trends

J Chen, Y Zhang, H Cai, L Liu, M Liao, J Fang - Behavioral Sciences, 2024 - mdpi.com
This research provides a comprehensive overview of micro-influence marketing, analyzing
the characteristics of influencers and the mechanisms of their impact. A systematic review …

Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage

Á Huertas-García, A Martín, J Huertas-Tato… - Applied Soft …, 2023 - Elsevier
Content moderation is the process of screening and monitoring user-generated content
online. It plays a crucial role in stopping content resulting from unacceptable behaviors such …

Applications of social network analysis in promoting circular economy: a literature review

H Liao, Z Wu, F Liu, C Zhang - Technological and Economic …, 2023 - journals.vilniustech.lt
Circular economy (CE) is a sustainable alternative to tackle global challenges like climate
change, waste, and pollution. The relations, perceptions and behaviors of stakeholders in …

[PDF][PDF] Using Technology in English Teaching

GJO Procel, MLF Medina… - … and Public Health, 2024 - biblioteca.ciencialatina.org
The advent of technology in the educational sphere has marked a significant evolution in the
methodology of language teaching and learning, particularly in English. This book delves …

Exploring the Dynamic Interplay of User Characteristics and Topic Influence on Weibo: A Comprehensive Analysis

G Ruan, L Xia, X Wen, Y Dong - Journal of the Knowledge Economy, 2024 - Springer
In the contemporary digital landscape, Weibo has emerged as a dominant force, profoundly
shaping societal dynamics and communication paradigms. This study investigates the …

An effective overlapping community merging method oriented to multidimensional attribute social networks

S Cheng, S Yang, X Cheng, W Wang - Expert Systems, 2023 - Wiley Online Library
For multidimensional attribute social networks, most of the existing methods have limitations
in dealing with community redundancy, namely, the influences of the network's …

Topic Modeling for Identifying Emerging Trends on Instagram Using Latent Dirichlet Allocation and Non-Negative Matrix Factorization

IK Garewal, S Jha, CV Mahamuni - 2024 10th International …, 2024 - ieeexplore.ieee.org
This research tackles the challenge of tracking emerging trends on Instagram through
advanced topic modeling techniques, utilizing Latent Dirichlet Allocation (LDA) and Non …

Extending adjacency matrices to 3D with triangles

R Pan, HC Purchase, T Dwyer… - 2024 IEEE 17th Pacific …, 2024 - ieeexplore.ieee.org
Social networks are the fabric of society and the subject of frequent visual analysis. Closed
triads represent triangular relationships between three people in a social network and are …

[PDF][PDF] Seamlessly and Efficiently Integrating DuckDB with Graph Neural Network Libraries

Y Wu - 2023 - homepages.cwi.nl
DuckPGQ is an extension of the DuckDB relational database management system that
introduces SQL/PGQ support. This support empowers the definition of graph views over …