scholarly journals Factors Affecting Continuous Usage Intention of Mobile Closed Social Network Services: In-depth Interviews and An Empirical Investigation

2015 ◽  
Vol 24 (3) ◽  
pp. 21-46
Author(s):  
Zehua Shao ◽  
Joon Koh
Keyword(s):  
Social Network ◽  
Empirical Investigation ◽  
Network Services ◽  
Factors Affecting ◽  
Social Network Services ◽  
Continuous Usage Intention ◽  
Depth Interviews

Factors affecting the diffusion of mobile social network services in an aging society: value of informative, hedonic and ubiquitous services

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hyeyoon Bae ◽  
Sang Hyun Jo ◽  
Hyun Joo Jung ◽  
Euehun Lee
Keyword(s):  
Older Adults ◽  
Social Network ◽  
Mobile Services ◽  
Network Services ◽  
Mobile Social Network ◽  
Middle Aged ◽  
Content Type ◽  
Factors Affecting ◽  
Continued Use ◽  
Social Network Services

Purpose This paper aims to identify factors affecting the continued intention to use mobile social network services (m-SNS) among middle-aged and older adults in Korea, based on the focal characteristics of mobile services and SNS. Design/methodology/approach Data were collected through an online questionnaire to understand m-SNS usage from 358 people aged over 40 years in Korea. Findings Results show that middle-aged and older users of m-SNS are strongly motivated to seek information; they prefer to use m-SNS on a habitual basis because of the ubiquitous connectivity of mobile services. Furthermore, they perceive the usefulness of m-SNS in expanding their social networks. These results can be used to identify factors that affect continued use of m-SNS by the middle-aged and older generation in Korea. Originality/value This paper expands the literature on SNS acceptance among middle-aged and older adults, the population that, in future, is expected to constitute the majority of m-SNS users. This paper can also help understand factors that affect mature consumers’ continued use of m-SNS.

scholarly journals An Information Recommendation Technique Based on Influence and Activeness of Users in Social Networks

2021 ◽  
Vol 11 (6) ◽  
pp. 2530
Author(s):  
Minsoo Lee ◽  
Soyeon Oh
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Recommendation Systems ◽  
Network Services ◽  
The Past ◽  
User Behaviors ◽  
User Influence ◽  
User Activity ◽  
Information Recommendation ◽  
Social Network Services

Over the past few years, the number of users of social network services has been exponentially increasing and it is now a natural source of data that can be used by recommendation systems to provide important services to humans by analyzing applicable data and providing personalized information to users. In this paper, we propose an information recommendation technique that enables smart recommendations based on two specific types of analysis on user behaviors, such as the user influence and user activity. The components to measure the user influence and user activity are identified. The accuracy of the information recommendation is verified using Yelp data and shows significantly promising results that could create smarter information recommendation systems.

Face hallucination and recognition in social network services

2014 ◽  
Vol 71 (6) ◽  
pp. 2035-2049 ◽  
Author(s):  
Feng Jiang ◽  
Seungmin Rho ◽  
Bo-Wei Chen ◽  
Xiaodan Du ◽  
Debin Zhao
Keyword(s):  
Social Network ◽  
Network Services ◽  
Face Hallucination ◽  
Social Network Services
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