[HTML][HTML] Social influence analysis: models, methods, and evaluation

K Li, L Zhang, H Huang - Engineering, 2018 - Elsevier
Social influence analysis (SIA) is a vast research field that has attracted research interest in
many areas. In this paper, we present a survey of representative and state-of-the-art work in …

Trustworthiness assessment of users in social reviewing systems

C Esposito, V Moscato, G Sperlí - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Social Networks represent a cornerstone of our daily life, where the so-called social
reviewing systems (SRSs) play a key role in our daily lives and are used to access data …

Semi-supervised clustering with deep metric learning and graph embedding

X Li, H Yin, K Zhou, X Zhou - World Wide Web, 2020 - Springer
As a common technology in social network, clustering has attracted lots of research interest
due to its high performance, and many clustering methods have been presented. The most …

Effect of psychological capital on customer value cocreation behavior: the mediating role of employees' innovative behavior

M Farrukh, NY Ansari - Benchmarking: An International Journal, 2021 - emerald.com
Purpose Customer value cocreation (VCC) behavior is gaining increased scholarly attention
in the services marketing discipline and has become a top research priority in recent times …

Information propagation model based on hybrid social factors of opportunity, trust and motivation

J Wan, X Chen, Y Du, M Jia - Neurocomputing, 2019 - Elsevier
The propagation of information in the network is a complex dynamic process. Establishing
an accurate information propagation model around common social factors benefits a lot from …

An efficient two-phase model for computing influential nodes in social networks using social actions

M Azaouzi, LB Romdhane - Journal of Computer Science and Technology, 2018 - Springer
The measurement of influence in social networks has received a lot of attention in the data
mining community. Influence maximization refers to the process of finding influential users …

Social influence minimization based on context-aware multiple influences diffusion model

W Li, Q Bai, L Liang, Y Yang, Y Hu, M Zhang - Knowledge-Based Systems, 2021 - Elsevier
With the increasing popularity of online social networks, online information sharing turns out
to be pervasive. A variety of innovations simultaneously propagates through online social …

Detection of trust links on social networks using dynamic features

E Golzardi, A Sheikhahmadi, A Abdollahpouri - Physica A: Statistical …, 2019 - Elsevier
Social networks have turned into a popular medium for diffusion of information, providing
connections between people through access to several networks and shared personal …

Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation

Y Wang, B Zheng, D Gao… - 2018 24th International …, 2018 - ieeexplore.ieee.org
Prostate cancer is one of the leading causes of cancer deaths in men population in United
States. The motivation of this study is to investigate the feasibility of develo** a deep …

Consumer behavior in online risky purchase decisions: Exploring trustworthiness across culture

KD Strang - Multigenerational Online Behavior and Media Use …, 2019 - igi-global.com
There is very little research about how consumers of different races trust online marketing
information from businesses or government when making expensive purchase decisions …