A Lightweight Message Dissemination Strategy for Minimizing Delay in Online Social Networks

2015 ◽  
Author(s):  
En Wang ◽  
Yongjian Yang ◽  
Jie Wu ◽  
Wei-Shih Yang ◽  
Wenbin Liu
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Dissemination Strategy ◽  
Message Dissemination

The Unified Model for Acceptance and Use of Health Information on Online Social Networks

2016 ◽  
Vol 7 (1) ◽  
pp. 31-47 ◽  
Author(s):  
Waransanang Boontarig ◽  
Borworn Papasratorn ◽  
Wichian Chutimaskul
Keyword(s):  
Social Networks ◽  
Health Information ◽  
Online Social Networks ◽  
Information Dissemination ◽  
Source Credibility ◽  
Unified Model ◽  
Dissemination Strategy ◽  
Facilitating Conditions ◽  
Emotional Value ◽  
Beliefs And Attitudes

Online social networks provide a novel opportunity to improve public health through effective health information dissemination. Developing a dissemination strategy, however, requires an understanding of individuals' beliefs and attitudes about using both the technology and information. Previous research has focused primarily on either technology adoption or information adoption behaviors. This study aims to bridge the gap by developing a unified model of acceptance and use of information technology for predicting intention to use health information through online social networks. Empirical results show that Performance Expectancy, Facilitating Conditions, Perceived Emotional Value, Trust, Relevance, Accuracy, Understandability, and Source Credibility influence the adoption behavior. Also, individuals tend to accept health information regardless of their attitudes toward the communication channel.

The Unified Model for Acceptance and Use of Health Information on Online Social Networks

2018 ◽  
pp. 157-176
Author(s):  
Waransanang Boontarig ◽  
Borworn Papasratorn ◽  
Wichian Chutimaskul
Keyword(s):  
Social Networks ◽  
Health Information ◽  
Online Social Networks ◽  
Information Dissemination ◽  
Source Credibility ◽  
Unified Model ◽  
Dissemination Strategy ◽  
Facilitating Conditions ◽  
Emotional Value ◽  
Beliefs And Attitudes

Online social networks provide a novel opportunity to improve public health through effective health information dissemination. Developing a dissemination strategy, however, requires an understanding of individuals' beliefs and attitudes about using both the technology and information. Previous research has focused primarily on either technology adoption or information adoption behaviors. This study aims to bridge the gap by developing a unified model of acceptance and use of information technology for predicting intention to use health information through online social networks. Empirical results show that Performance Expectancy, Facilitating Conditions, Perceived Emotional Value, Trust, Relevance, Accuracy, Understandability, and Source Credibility influence the adoption behavior. Also, individuals tend to accept health information regardless of their attitudes toward the communication channel.

Analysis of User Interactions in Online Social Networks

2011 ◽  
Author(s):  
Seokchan Yun ◽  
Heungseok Do ◽  
Jinuk Jung ◽  
Song Mina ◽  
Namgoong Hyun ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
User Interactions
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