A new direction in social network analysis: Online social network analysis problems and applications

U Can, B Alatas - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
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 …

Millimeter-wave wireless communications for IoT-cloud supported autonomous vehicles: Overview, design, and challenges

L Kong, MK Khan, F Wu, G Chen… - IEEE Communications …, 2017 - ieeexplore.ieee.org
Autonomous vehicles are a rising technology in the near future to provide a safe and
efficient transportation experience. Vehicular communication systems are indispensable …

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

H Jelodar, Y Wang, C Yuan, X Feng, X Jiang… - Multimedia tools and …, 2019 - Springer
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 …

[HTML][HTML] Social media analytics–Challenges in topic discovery, data collection, and data preparation

S Stieglitz, M Mirbabaie, B Ross… - International journal of …, 2018 - Elsevier
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 …

Hierarchical multi-modal contextual attention network for fake news detection

S Qian, J Wang, J Hu, Q Fang, C Xu - Proceedings of the 44th …, 2021 - dl.acm.org
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 …

Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews

JW Bi, Y Liu, ZP Fan, J Zhang - Tourism Management, 2019 - Elsevier
This paper proposes a methodology for conducting importance-performance analysis (IPA)
through online reviews. The methodology is composed of three stages:(1) mining useful …

Novel visual and statistical image features for microblogs news verification

Z Jin, J Cao, Y Zhang, J Zhou… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
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 …

Joint-modal distribution-based similarity hashing for large-scale unsupervised deep cross-modal retrieval

S Liu, S Qian, Y Guan, J Zhan, L Ying - Proceedings of the 43rd …, 2020 - dl.acm.org
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 …

User cold-start recommendation via inductive heterogeneous graph neural network

D Cai, S Qian, Q Fang, J Hu, C Xu - ACM Transactions on Information …, 2023 - dl.acm.org
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 …

Fake news detection via knowledge-driven multimodal graph convolutional networks

Y Wang, S Qian, J Hu, Q Fang, C Xu - Proceedings of the 2020 …, 2020 - dl.acm.org
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 …