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 …

Multi-task learning model based on multi-scale CNN and LSTM for sentiment classification

N Jin, J Wu, X Ma, K Yan, Y Mo - IEEE Access, 2020 - ieeexplore.ieee.org
Sentiment classification is an interesting and crucial research topic in the field of natural
language processing (NLP). Data-driven methods, including machine learning and deep …

Periodic-aware intelligent prediction model for information diffusion in social networks

X Zhou, W Liang, Z Luo, Y Pan - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
Due to the rapid development of information and communication technologies with several
emerging computing paradigms, such as ubiquitous computing, social computing, and …

Information diffusion across cyber-physical-social systems in smart city: A survey

X Zhou, S Li, Z Li, W Li - Neurocomputing, 2021 - Elsevier
The smart city makes use of information technology to integrate city systems and functions to
optimize city management and services. In this paper, we treat the smart city as a Cyber …

AccessAuth: Capacity-aware security access authentication in federated-IoT-enabled V2G networks

M Tao, K Ota, M Dong, Z Qian - Journal of Parallel and Distributed …, 2018 - Elsevier
Abstract Vehicle-to-Grid (V2G) systems promoted by the federated Internet of Things (IoT)
technology will be ubiquitous in the future; therefore, it is crucial to provide trusted, flexible …

On structural features, user social behavior, and kinship discrimination in communication social networks

SS Zhang, X Liang, YD Wei… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the research of social networks, their structural characteristics, user social behaviors, and
user relationships are elements that are important to understand social networks, to predict …

[HTML][HTML] HetInf: social influence prediction with heterogeneous graph neural network

L Gao, H Wang, Z Zhang, H Zhuang, B Zhou - Frontiers in Physics, 2022 - frontiersin.org
With the continuous enrichment of social network applications, such as TikTok, Weibo,
Twitter, and others, social media have become an indispensable part of our lives. Web users …

Association rules mining among interests and applications for users on social networks

H Si, J Zhou, Z Chen, J Wan, NN Xiong, W Zhang… - IEEE …, 2019 - ieeexplore.ieee.org
Interest is an important concept in psychology and pedagogy and is widely studied in many
fields. Especially in recent years, the widespread use of many interest-based …

Educating farmers using participatory rural appraisal construct

G Maulani, U Rahardja, M Hardini… - … on Informatics and …, 2020 - ieeexplore.ieee.org
The Digital Based Community Economy Program has been created to expand market
access and improve the quality of farmers. The program is called the “Online Farming …

[PDF][PDF] Fine-grained detection on the public's multi-dimensional communication preferences in emergency events

Q Zhou - Heliyon, 2023 - cell.com
With the rapid development of Internet technologies, the public can participate in the
information communication of emergency events more conveniently and quickly. Once an …