• KIPS Transactions on Software and Data Engineering
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• v.6 no.6
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• pp.309-314
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• 2017

In general, there are many difficulties in collecting, storing, and analyzing SNS (social network service) data, since those data have big data characteristics, which occurs very fast with the mixture form of structured and unstructured data. In this paper, we propose a new data visualization framework that works on Apache Storm, and it can be useful for real-time and dynamic analysis of SNS data. Apache Storm is a representative big data software platform that processes and analyzes real-time streaming data in the distributed environment. Using Storm, in this paper we collect and aggregate the real-time Twitter data and dynamically visualize the aggregated results through the tag cloud. In addition to Storm-based collection and aggregation functionalities, we also design and implement a Web interface that a user gives his/her interesting keywords and confirms the visualization result of tag cloud related to the given keywords. We finally empirically show that this study makes users be able to intuitively figure out the change of the interested subject on SNS data and the visualized results be applied to many other services such as thematic trend analysis, product recommendation, and customer needs identification.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.405-413
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• 2018

The purpose of this study was to investigate the influence of SNS addiction tendency, depression, and communication skill among university students. Subjects were 200 associate nursing students in Korea. The data were collected using a self-reporting questionnaire from October 11 to November 24, 2016. Data were analyzed by descriptive statistics, t-test, ANOVA, LSD test, Pearson's correlation coefficients, and multiple regression analysis using the SPSS/WIN 23.0 program. The levels of SNS addiction tendency were dependent on age (t=2.47, p=.044), connection SNS time (F=10.20, p<.001), and place of SNS use (t=2.54, p=.012). SNS addiction tendency was significantly correlated with depression. Higher SNS addiction was associated with higher rates of depression. SNS addiction tendency was not significantly correlated with communication skill in nursing students. Influential factors that affect SNS addiction tendency were depression (${\beta}=.265$, p<.001) and SNS usage time (${\beta}=.265$, p<.001), which explains about 15.5% of the variance. The results of this study indicate that nursing interventions are necessary to improve SNS addiction tendency, and early screening of nursing students is needed to develop health promotion programs for the vulnerable.

• Knowledge Management Research
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• v.16 no.1
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• pp.143-170
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• 2015

In the rapidly changing business environment, companies are introducing information technology to effectively manage internal resources in order to achieve a sustainable competitive advantage. We presented the Enterprise Social Network Service(SNS) as new information technology. Enterprise SNS provided employers with sociable functions like Facebook while supporting general task such as mail, authorization and notice. In this research, we focused on Enterprise SNS and suggested self-disclosure, enjoyment in helping others, perceived organizational support, generativity capacity as antecedent variables of Enterprise SNS usage. In addition, we verified the effect of the mediating role of generativity capacity between Enterprise SNS usage and job performance. For empirically verifying the proposed model, we collected sample data from 225 workers using Enterprise SNS and conducted analysis using a structural equation modeling. We expect that this study provides managers who are interested in introducing enterprise SNS with insights on how to facilitate enterprise SNS usage. Also, this study suggests useful theoretical implications to researchers who are interested in the use of enterprise SNS from the context of knowledge management.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.213-225
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• 2012

The identified research result can be outlined more specifically as follows: first, informativeness of SNS was giving positive impact to some degree on the user satisfaction; second, connectivity of SNS was giving very positive impact on the user satisfaction; third, accessibility was giving very positive impact on the user satisfaction; forth, usability of SNS was giving very positive impact on the user satisfaction; fifth, amusement of SNS was giving very positive impact on the user satisfaction; the satisfaction level of SNS users gave positive impact on the further intention of SNS users. It was identified, however, that interactiveness of SNS was the factor that did not give much impact on the user satisfaction. This result comes from the analysis that SNS is convenient to actively explore and get further information that users wish to find, while they are insufficient in function to provide the information other users require or exchange information among users through the SNS.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.237-242
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• 2013

SNS is emerging as an academic and social interest, as Facebook and Twitter are developed explosively. But, SNS has a problem of exposing user's privacy because it is originated by exchanging user's personal information and opinion. This paper proposes SNS user privacy protecting model using data separation and false data information instead of blocking which is using to protect user's personal privacy. The proposed model do not let the third party extract precise information after collecting user's context information by adding false information to separated context information. Also, it gets user's agreement beforehand if SNS service provider uses user's information not to be used illegally by the third party.

• Journal of Information Technology Applications and Management
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• v.25 no.2
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• pp.1-21
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• 2018

This study aims to investigate the usage patterns of users in Social Network Services (SNS) where is an upsurge. Specifically, the paper considers the reason why young people more and more prefer online (or mobile) SNS activities rather than offline face-to-face social relationship. Furthermore, the drivers which affect SNS usages are considered from users' personal characteristics and social influences. User's personal characteristics include their personalities (extraversion and introversion), narcissism, and life satisfaction. Social influences involve subjective norm, visibility, and image. Affected by personal and social factors in SNS, users intend to show positive self-presentation, which refers to a behavior to selectively expose his/her goodness to others. As one of the most influential drivers affecting SNS usage, the positive self-representation has an effect on the level of SNS usage. Thus, this paper suggests the hypothesized research model focusing on positive self-representation in the relationship among personal characteristics, social influence, and user's behavior in SNS. Empirical data analysis with 100 questionnaires suggests that all hypotheses were adopted except for the effect of visibility among social influence factors on positive self-representation.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.613-624
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• 2021

The use of social networking sites (SNS) for e-recruitment has shifted the focus away from traditional hiring and selection processes. They are commonly used in the search and acquisition of new employees and are projected to expand in the near future as an e-recruitment tool. However, there is a lack of material on SNS and their impact on an employers' intention to use these sites for e-recruitment, in the context of Malaysia. Hence, there is an acute necessity for research on the extent that the features of SNS can influence the employers' intention to use SNS for e-recruitment and to know how to keep utilizing the platform for future e-recruitment. This study aims to identify the key features of SNS that lead to employers' intention to use SNS for e-recruitment in Malaysia. In this cross-sectional study, random sampling was utilized to obtain data from 198 recruitment professionals using online survey. The findings show that data quality, reliability, networking spectrum and simplicity of navigation of SNS are the key predicting factors for intention to use SNS for e-recruitment. Therefore, employers should acknowledge these key features of SNS to achieve their e-recruitment goals.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.289-300
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• 2021

SNS data was collected and analyzed by topic modeling techniques to examine recent trends in information education. By deriving keywords and topics for SW education and AI education, we not only attempted to discover insights ahead of the next revised curriculum but also suggested directions. According to the SNS data analysis, the contents of human resource development for software and the instructional method in schools are indicated as a high requirement. Meanwhile, SW education should be conducted through a separate curriculum from elementary school, and this was consistent with the opinion that it is necessary to be organized as a required subject. There was an opinion to support the schools since AI education is newly introduced in next revised national curriculum. The trends in SW education and AI education which are observed through SNS data analysis could be concluded to conduct the substantial operation of information education and curriculum organization.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.127-145
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• 2016

This paper aims to investigate empirically how brand trust can be formed from the customer-brand relationship through a direct use of firm's SNS in B2B context. The brand trust is fundamental elements to understanding of long-term relationship in a B2B context. To achieve the objectives of this study, data collection is through a personally administered questionnaire, and a total of 180 questionnaires was collected from the buyer or supplier who frequently visited partner's firm SNS. Excluding missing data, 120 usable data were analyzed. From the results, first, three SNS motivations (i.e. Information, social and entertainment) has a positive impact on the perceived value of SNS (i.e. perceived usefulness and perceived enjoyment). Second, the perceived usefulness and perceived enjoyment positively affect customer-brand relationship (brand intimacy, brand attachment). Third, the customer-brand relationship is positively related to brand trust. Implications, limitations and future research directions of the study were also discussed. These findings help managers in developing and implementing the relation between SNS use and a customer-brand relationship for long-term relationship in B2B.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.191-197
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• 2017

As individual opinions are expressed and discussed through SNS, SNS is used as a new basis to estimate the direction of public opinion. This change also appears in election. So many voters state their views through SNS, so that candidates utilize it as a new space for communication. In this paper, positive mention in SNS were collected and analysed in the course of the election of Korean 20th Congressman, to understand how the mention on election in SNS affects the result of election. This result was compared with the traditional survey on public opinion, to find out which one more corresponds to the result. In conclusion, mention in SNS coincide more with the result of elelction than the traditional survey.