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[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 …
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
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 …
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
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 …
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
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 …
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
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 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
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 …
mining community. Influence maximization refers to the process of finding influential users …
Social influence minimization based on context-aware multiple influences diffusion model
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 …
to be pervasive. A variety of innovations simultaneously propagates through online social …
Detection of trust links on social networks using dynamic features
Social networks have turned into a popular medium for diffusion of information, providing
connections between people through access to several networks and shared personal …
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
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 …
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 …
information from businesses or government when making expensive purchase decisions …