A new direction in social network analysis: Online social network analysis problems and applications
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …
of the Internet has become widespread worldwide as the technological infrastructure and the …
Millimeter-wave wireless communications for IoT-cloud supported autonomous vehicles: Overview, design, and challenges
Autonomous vehicles are a rising technology in the near future to provide a safe and
efficient transportation experience. Vehicular communication systems are indispensable …
efficient transportation experience. Vehicular communication systems are indispensable …
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …
data discovery, and finding relationships among data and text documents. Researchers …
[HTML][HTML] Social media analytics–Challenges in topic discovery, data collection, and data preparation
Since an ever-increasing part of the population makes use of social media in their day-to-
day lives, social media data is being analysed in many different disciplines. The social …
day lives, social media data is being analysed in many different disciplines. The social …
Hierarchical multi-modal contextual attention network for fake news detection
Nowadays, detecting fake news on social media platforms has become a top priority since
the widespread dissemination of fake news may mislead readers and have negative effects …
the widespread dissemination of fake news may mislead readers and have negative effects …
Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews
This paper proposes a methodology for conducting importance-performance analysis (IPA)
through online reviews. The methodology is composed of three stages:(1) mining useful …
through online reviews. The methodology is composed of three stages:(1) mining useful …
Novel visual and statistical image features for microblogs news verification
Microblog has been a popular media platform for reporting and propagating news. However,
fake news spreading on microblogs would severely jeopardize its public credibility. To …
fake news spreading on microblogs would severely jeopardize its public credibility. To …
Joint-modal distribution-based similarity hashing for large-scale unsupervised deep cross-modal retrieval
Hashing-based cross-modal search which aims to map multiple modality features into binary
codes has attracted increasingly attention due to its storage and search efficiency especially …
codes has attracted increasingly attention due to its storage and search efficiency especially …
User cold-start recommendation via inductive heterogeneous graph neural network
Recently, user cold-start recommendations have attracted a lot of attention from industry and
academia. In user cold-start recommendation systems, the user attribute information is often …
academia. In user cold-start recommendation systems, the user attribute information is often …
Fake news detection via knowledge-driven multimodal graph convolutional networks
Nowadays, with the rapid development of social media, there is a great deal of news
produced every day. How to detect fake news automatically from a large of multimedia posts …
produced every day. How to detect fake news automatically from a large of multimedia posts …