• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.223-231
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• 2021

The study aimed to investigate the impact of social networks safety (SNS) on the marketing information quality (MIQ) during the COVID-19 pandemic in Saudi Arabia. The study examines the statistical differences in social networks safety SNS and marketing information quality MIQ according to the demographics such as age, sex, income, and education. For this study purpose, information security and privacy are two components of social networks safety. The research materials are website resources, regular books, journals, and articles. The population includes all Saudi users of social networks. The figures show that active users of the social network reached 25 Million in 2020. The snowball method was used and sample size is 500 respondents and the questionnaire is the tool for the data collection. The Structural Equation Modelling SEM technique is used. Convergent Validity, Discriminate Validity, and Multicollinearity are the main assumptions of structural equation modeling SEM. The findings show the high positive impact of SNS networks safety on MIQ and the statistical differences in such variables refer to education. Finally, the study presents a set of future suggestions to enhance the safety of social networks in Saudi Arabia.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.428-435
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• 2016

Hundreds of millions of new posts and information are being uploaded and propagated everyday on Online Social Networks(OSN) like Twitter, Facebook, or Instagram. This paper proposes and implements a GPS-location based SNS data mapping, analysis, and visualization system, called Smart SNS Map, which collects SNS data from Twitter and Instagram using hundreds of PlanetLab nodes distributed across the globe. Like no other previous systems, our system uniquely supports a variety of functions, including GPS-location based mapping of collected tweets and Instagram photos, keyword-based tweet or photo searching, real-time heat-map visualization of tweets and instagram photos, sentiment analysis, word cloud visualization, etc. Overall, a system like this, admittedly still in a prototype phase though, is expected to serve a role as a sort of social weather station sooner or later, which will help people understand what are happening around the SNS users, systems, society, and how they feel about them, as well as how they change over time and/or space.

• Journal of Communications and Networks
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• v.17 no.2
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• pp.118-125
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• 2015

In this paper, we propose a method to reduce mobile social network services (SNSs) traffic using a mobile integrated SNS gateway (MISG) to improve network communication performance between the mobile client and SNS servers. The gateway connects the client and SNS servers using the contents adapter and the web service adapter and helps to improve communication performance using its cache engine. An integrated SNS application, the user's client, communicates with the gateway server using integrated SNS protocol. In addition, the gateway can alert the client to new SNS contents because of the broker server implemented by the message queuing telemetry transport protocol. We design and develop the modules of the gateway server and the integrated SNS application. We then measure the performance of MISG in terms of content response time and describe the result of the experiment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.957-959
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• 2013

A SNS(Social Networking Service) is an online platform to build social networks or social relations among people who, for example, share free communication, information, and make more personal connections. In this paper, we find representative entities, develop relationships among them, and draw an ERD based on the entities and their relationships. And then we design a SNS database schema by converting the ERD into collections according to data model of MongoDB, which is an NoSQL database.

• Journal of Information Technology Applications and Management
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• v.28 no.5
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• pp.61-70
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• 2021

With the proliferation of smartphones and 5G networks, mobile social network service (SNS) has become an indispensable part of people's daily lives. However, with the use of SNS, fatigue and withdrawal behavior gradually emerged. Based on The Transactional Theory of Stress and Coping (TTSC), we explored the mechanism of SNS overload on users' discontinuous intention under the framework of "stressor-strain-outcome". And we also investigated the moderating effects of gender in this process. We hope that through our research, we can help SNS users to reduce unnecessary fatigue, and provide better suggestions for platform designers to adjust product design to improve user experience.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.1
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• pp.63-77
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• 2015

As social network service(SNS) environments have been changed and increased, people perceive SNSs as a part of their daily lives. Therefore mutual communication activities based on the Internet and its influences are expanding continuously. This paper explored the difference between consumers' emotional well-being level and social capital formed through SNSs. Given that the reason of using SNS and its utilization can be different depending on consumers, this paper also examines generation differences. Hence, we examine how the forms of emotional well-being and social capital in SNSs can be different according to each generation. We conducted a survey targeting the consumers who have an experience of using online SNS and looked into the effects of emotional well-being and social capital among generations using eighty three valid samples. In this study, we find that there are differences on the effects of the sizes and the types of social capital formed through SNS, depending on the generations. In particular, the size of social capital from younger generation was larger compared to the older generation and bridging social capital, one of social capital types, was also bigger in the younger generation compared to the older generation. Although general emotional well-being was not differentiated among the generations, we could find a generation difference by showing that older generation's negative well-being, one of emotional well-being types, was more sensitive than younger generation. Based on such results, this paper proposes SNS utilization plan sub-divided by generations, suggesting management direction of online social networks.

• Journal of Korean Society for Quality Management
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• v.40 no.1
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• pp.60-72
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• 2012

This research conducted a survey targeting mobile SNS users in order to see whether mobile SNS attribute( accessibility, usefulness, newness, connectivity) through the medium of information share and relationship formation had a positive influence on user satisfaction. The results of the analysis showed that usefulness and accessibility had a significant influence on information share, while accessibility and connectivity had a significant influence on relationship formation. Information share and relationship formation both had a significant influence on user satisfaction. Based on this research, an angle of approach different from the business transactions and information services offered in existing mobile networks is necessary when corporations provide SNS through mobiles. When considering that the most important part in the use of mobile SNS is the social component, this can be actively used for the development and marketing of SNS services. Therefore, the SNS provider must focus its efforts on finding a method to stimulate user sensibilities in order to increase customer satisfaction and draw out continuous usage.

• Journal of Fashion Business
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• v.15 no.1
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• pp.158-170
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• 2011

The purpose of this study was to examine how recently fashion corporate did use SNS applications for their product promotion strategies as case studies, and to provide what kinds of SNS marketing strategies would be developed for fashion corporate. Specifically, this study was focused on Twitter among SNS applications. For this study, Internet webs, news paper, articles, and other press work were used for resources. Five fashion corporate such as Buckaroo, MLB, North Faces, Kolon, and ABC Mart were analyzed. As the results, first, fashion corporate used Twitter as the marketing tool for their product promotion. Second, they tried to make an increase the numbers of Twitter follower from their customers. Third, Twitter was used for making higher customer loyalty by fashion corporate through a variety of program such as special events, game, music, or viral marketing. However, there were still some limitations on fashion corporate's Twitter usage, compared to other non-fashion corporate. Thus, fashion corporate needs to provide more creative and unique Twitter marketing strategies. Therefore, based on these results, fashion brand merchandising marketing strategies of fashion products would be provided from this study.

• Journal of Korea Multimedia Society
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• v.20 no.7
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• pp.1065-1072
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• 2017

As smart devices and social network services (SNSs) become increasingly pervasive, individuals produce large amounts of data in real time. Accordingly, studies on unstructured data analysis are actively being conducted to solve the resultant problem of information overload and to facilitate effective data processing. Many such studies are conducted for filtering inappropriate information. In this paper, a feature-weighting method considering SNS-message features is proposed for the classification of short text messages generated on SNSs, using Markov logic networks for category inference. The performance of the proposed method is verified through a comparison with an existing frequency-based classification methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.6
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• pp.657-664
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• 2014

This study is targeted at users of social networks to investigate motives, motives based on information exchange, network density, and reliability of information, recognizing network. Result motivation is a social network analysis of information-seeking motivation, social influence motivation, entertainment motivation, motivation network formation, respectively. Network density is also information seeking motivations, social influence motivation, entertainment showed differences in motivation, information about the reliability of the difference between the difference was in all the motivational factors.