Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
Blockchain and IoT-based cognitive edge framework for sharing economy services in a smart city
In this paper, we propose a Blockchain-based infrastructure to support security-and privacy-
oriented spatio-temporal smart contract services for the sustainable Internet of Things (IoT) …
oriented spatio-temporal smart contract services for the sustainable Internet of Things (IoT) …
Lies kill, facts save: Detecting COVID-19 misinformation in twitter
MS Al-Rakhami, AM Al-Amri - Ieee Access, 2020 - ieeexplore.ieee.org
Online social networks (ONSs) such as Twitter have grown to be very useful tools for the
dissemination of information. However, they have also become a fertile ground for the …
dissemination of information. However, they have also become a fertile ground for the …
Measuring and preventing COVID‐19 using the SIR model and machine learning in smart health care
SA Alanazi, MM Kamruzzaman… - Journal of healthcare …, 2020 - Wiley Online Library
COVID‐19 presents an urgent global challenge because of its contagious nature, frequently
changing characteristics, and the lack of a vaccine or effective medicines. A model for …
changing characteristics, and the lack of a vaccine or effective medicines. A model for …
Attention-based sentiment analysis using convolutional and recurrent neural network
Convolution and recurrent neural network have obtained remarkable performance in natural
language processing (NLP). Moreover, from the attention mechanism perspective …
language processing (NLP). Moreover, from the attention mechanism perspective …
[HTML][HTML] Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data
Large-scale geotagged social media data have been increasingly used for exploring human
movement patterns in cities. Challenges of this new data type, such as non-representative …
movement patterns in cities. Challenges of this new data type, such as non-representative …
Privacy inference attack against users in online social networks: a literature review
With the rapid development of social networks, users pay more and more attention to the
protection of personal information. However, the transmission of users' personal information …
protection of personal information. However, the transmission of users' personal information …
A survey on visual analytics of social media data
The unprecedented availability of social media data offers substantial opportunities for data
owners, system operators, solution providers, and end users to explore and understand …
owners, system operators, solution providers, and end users to explore and understand …
User-service rating prediction by exploring social users' rating behaviors
With the boom of social media, it is a very popular trend for people to share what they are
doing with friends across various social networking platforms. Nowadays, we have a vast …
doing with friends across various social networking platforms. Nowadays, we have a vast …
Sybil defense techniques in online social networks: a survey
The problem of malicious activities in online social networks, such as Sybil attacks and
malevolent use of fake identities, can severely affect the social activities in which users …
malevolent use of fake identities, can severely affect the social activities in which users …