CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor

B Abu-Salih, P Wongthongtham… - Journal of …, 2019 - journals.sagepub.com
The widespread use of big social data has influenced the research community in several
significant ways. In particular, the notion of social trust has attracted a great deal of attention …

Modeling the influence of online communities and social commerce

N Patwa, M Gupta, A Mittal - Global Knowledge, Memory and …, 2024 - emerald.com
Modeling the influence of online communities and social commerce | Emerald Insight Books
and journals Case studies Expert Briefings Open Access Publish with us Advanced search …

Time-aware domain-based social influence prediction

B Abu-Salih, KY Chan, O Al-Kadi, M Al-Tawil… - Journal of Big Data, 2020 - Springer
Online social networks have established virtual platforms enabling people to express their
opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate …

A social sensing model for event detection and user influence discovering in social media data streams

LL Shi, L Liu, Y Wu, L Jiang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Online social networks (OSNs) have emerged as a major platform for sharing information
through social relationships and are one of the major sources of big data. Social networks …

An exploratory study of Twitter metrics for measuring user influence

M Zhang, D Zhang, Y Zhang, K Yeager, TN Fields - Journal of Informetrics, 2023 - Elsevier
Influence plays a critical role in information communication, and the ubiquitous use of social
media has made measuring influence on social media platforms a salient challenge. While …

Social credibility incorporating semantic analysis and machine learning: A survey of the state-of-the-art and future research directions

B Abu-Salih, B Bremie, P Wongthongtham… - … Artificial Intelligence and …, 2019 - Springer
Abstract The wealth of Social Big Data (SBD) represents a unique opportunity for
organisations to obtain the excessive use of such data abundance to increase their …

Trustworthiness in social big data incorporating semantic analysis, machine learning and distributed data processing

BAAR Abu Salih - 2018 - espace.curtin.edu.au
This thesis presents several state-of-the-art approaches constructed for the purpose of (i)
studying the trustworthiness of users in Online Social Network platforms,(ii) deriving …

Tree-based classification to users' trustworthiness in OSNs

R Nabipourshiri, B Abu-Salih… - Proceedings of the 2018 …, 2018 - dl.acm.org
In the light of the information revolution, and the propagation of big social data, the
dissemination of misleading information is certainly difficult to control. This is due to the rapid …

Explainable Artificial Intelligence: Methods and Evaluation

G Grigoryan - 2024 - search.proquest.com
A wide array of techniques within explainable artificial intelligence (XAI) have been
developed to measure the importance of features in machine learning models. A notable …

A tag-based recommender system framework for social bookmarking websites

H Liu - International Journal of Web Based Communities, 2018 - inderscienceonline.com
In social bookmarking websites, social tags contain rich information about individual
preference in web resources. Nevertheless, the unsupervised way of tag creation makes the …