• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.259-265
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• 2020

The study aims to define the career competency of HRD practitioners based on an intelligent career framework. This intelligent career framework has been described as having been achieved by the accumulation of career capital through the three ways of knowing, including knowing why, knowing how, and knowing with whom. The data were collected from the interviews with 15 HRD practitioners. Semi-structured interviews were used to collect data from the HRD practitioners. For the orientation about the interview, the researcher explained the importance of gathering data about the personal experiences of the respondents on their work and career. After that explanation, the researcher asked several questions based on the pre-structured interview guide. The data collected were qualitatively analyzed on the basis of the intelligent career framework. Based on the analysis of the interviews, the subcategories of each way of knowing competency were identified. For the knowing why, identity, credibility, and career clarity were identified. The subcategories of knowing how are remaining updates, hard skills, and soft skills, while the subcategories of knowing with whom are personal networking and professional networking. The interdependency among the three career competencies was found. The findings provide theoretical implications of applying an intelligent career framework.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.5
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• pp.2484-2498
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• 2017

Various types of social media make the people share their personal experience in different ways. In some social networking sites. Some users post their reviews, some users can support these reviews with comments, and some users just rate the reviews as kind of support or not. Unfortunately, there is rare explicit negative comments towards other reviews. This means if there is a link between two users, it must be positive link. Apparently, the negative link is invisible in these social network. Or in other word, the negative links are redundant to positive links. In this work, we first discuss the feature extraction from social media data and propose new method to compute the distance between each pair of comments or reviews on social media. Then we investigate whether we can predict negative links via regression analysis when only positive links are manifested from social media data. In particular, we provide a principled way to mathematically incorporate multi-facet data in a novel framework, Constructing Negative Links, CsNL to predict negative links for discovering the hidden information. Additionally, we investigate the ways of solution to general negative link predication problems with CsNL and its extension. Experiments are performed on real-world data and results show that negative links is predictable with multi-facet of social media data by the proposed framework CsNL. Essentially, high prediction accuracy suggests that negative links are redundant to positive links. Further experiments are performed to evaluate coefficients on different kernels. The results show that user generated content dominates the prediction performance of CsNL.

• Korean Journal of Social Welfare
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• v.62 no.3
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• pp.353-374
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• 2010

The purpose of the study was to investigate the effects of computer use in elderly's social participation. Specifically, the participants(aged 65-74 yrs) were classified according to the computer usage patterns, and the effect of the computer use pattern on social participation was investigated. And the study identified the impact of social attributes within computer use in detail through different types of social activity analysis. In order to statistical analysis, data from the investigation of elderly welfare conditions and needs in Busan(2009) was used. Findings indicated that 1) the elderly computer users were classified in three types; "information search/hobby-pattern", "hobby-pattern", and "information search/communication pattern". 2) the effect of computer use by the elderly in social participation was positive. 3) the "information search/communication pattern" users tended to actively involve in social participations, and pursued activation and expansion of social networking, seeking organizational and social benefits. Practical and social implications and limitations of the study were discussed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.583-592
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• 2020

With the popularization of smartphones, Social Networking Service (SNS) has become the means of communication for modern people. Due to the nature of the means of communication, SNS generates a variety of archive and preservation evidence. Therefore, it is a major analysis target in terms of digital forensic investigation. An application that provides SNS stores data in a central server or database in a smartphone inside for user convenience. Some applications provide encryption for privacy, which can be anti-forensic in terms of digital forensic investigation. Therefore, the study of the encryption method should be continuously preceded. In this paper, we analyzed two applications that provide SQLite-based database encryption through SQLCipher module. Each database was decrypted and key data was identified.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.2
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• pp.135-143
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• 2022

Purpose : This study was to compare and analyze major factors related to smartphone addiction according to the gender of health-related college students. Methods : 720 people who voluntarily participated and agreed to fill out the questionnaire were randomly sampled. Smartphone addiction was measured using the Smartphone Addiction Scale Short Version (SAS-SV), sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), anxiety symptoms were measured using the self-assessment anxiety scale (SAS), and depression symptoms were measured using the self-assessment depression scale (SDS). In addition, the age of each individual and the main function of smartphone use were also investigated. Results : The prevalence of smartphone addiction was higher among female students than male students (p<.05), while male students mainly played games and female students mainly used multimedia (video/music) viewing and social networking services (p<.05). In addition, male students showed a high association with smartphone addiction in the group where games were the main function of smartphone use, the group with low sleep quality, and the group with anxiety symptoms (p<.05), but for female students, multimedia (video/music) Or, the group in which social networking service is the main function of smartphone use, the group with low sleep quality, and the group with symptoms of anxiety and depression showed a high correlation with smartphone addiction (p<.05). Conclusion : It is expected that the results of this study will be used as basic data for providing customized solutions considering the characteristics of smartphone addicts.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.97-106
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• 2023

Sentiment analysis using social network platforms such as Twitter has achieved tremendous results. Twitter is an online social networking site that contains a rich amount of data. The platform is known as an information channel corresponding to different sites and categories. Tweets are most often publicly accessible with very few limitations and security options available. Twitter also has powerful tools to enhance the utility of Twitter and a powerful search system to make publicly accessible the recently posted tweets by keyword. As popular social media, Twitter has the potential for interconnectivity of information, reviews, updates, and all of which is important to engage the targeted population. In this work, numerous methods that perform a classification of tweet sentiment in Twitter is discussed. There has been a lot of work in the field of sentiment analysis of Twitter data. This study provides a comprehensive analysis of the most standard and widely applicable techniques for opinion mining that are based on machine learning and lexicon-based along with their metrics. The proposed work is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous, and polarized positive, negative or neutral. In order to validate the performance of the proposed framework, an extensive series of experiments has been performed on the real world twitter dataset that alter to show the effectiveness of the proposed framework. This research effort also highlighted the recent challenges in the field of sentiment analysis along with the future scope of the proposed work.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.41-60
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• 2010

This study aims to analyze the properties of the tags used in the fiction genre, the structural aspect of the patterns and the contents of the tags by utilizing LibraryThing, where the tags are assigned in work units of FRBR. A comparative analysis was conducted in terms of the level of association between the descriptive terms in bibliography and LCSH terms. The study also examined the sources of the tags not included in the bibliographic descriptions or LCSHs, what aspects of work they represented, and the terms used as tags in relation to the work. By restricting the study to a single genre, a number of tags that reflected the characteristics of fiction (three elements of the fiction which are theme, plot, style and three elements of the fiction composition which are character, event, setting) were extracted. This study finds out the role of the tag making up the taxonomy and proposes a new direction for the tagging system by demonstrating the possibility of using tags as facets in information organization and retrieval.

• Journal of the Korea Society of Computer and Information
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• v.18 no.3
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• pp.127-139
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• 2013

Social commerce has not been studied in depth as it is a more common recent phenomenon. Especially, social commerce has not been examined academically in terms of information quality despite its importance. The purpose of this paper is to investigate the effects of information quality on customer satisfaction and continuous intention to buy in social commerce market. This study addresses two research questions as following. First, this study aims to examine the effects of information quality on customer satisfaction and then investigate the relationship between customer satisfaction and continuous intention to use in social commerce market. According to the result of analysis, all aspects of information quality except price information quality were found to be significantly related to the customer satisfaction. Finally, customer satisfaction was shown to be significantly related to the continuous intention to use. This study has academic and practical significance in that it analyses the customer satisfaction in terns of information quality and then provides strategic guide for enhancing customer satisfaction in rapidly developing social commerce market.

• The Journal of Information Systems
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• v.23 no.1
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• pp.53-71
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• 2014

The center of networking is moving toward mobile from PC based computing environment. The number of smartphone users are increasing rapidly today. One of the most popular smart phone applications is mobile SNS such as Kakao Story, Facebook, Twitter, Mobile Cyworld, etc. Mobile SNS means social network services based on mobile communication technology. This research focused on mobile SNS usage of married women who have not enough time for face-to-face communication with their friends to enhance their friendship. Married women in their 30s and 40s have lots of things to do like housework and caring their children. Mobile SNS would help their communication in aspect such of free of space and time. Through Mobile SNS married women can reinforce their personal relationship and self-esteem. Social Information Processing Theory (SIP) is an interpersonal communication theory developed by Walther(1992). Once established, online personal relationships may demonstrate the same relational dimensions and qualities as face-to-face relationships. The theory explains how people get to know one another online, without nonverbal cues, and how they develop and manage relationships in the computer-mediated environment. The result of empirical analysis indicates that marred women's Mobile SNS activities reinforce their personal relationship and self-esteem.

• Journal of Contemporary Eastern Asia
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• v.18 no.1
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• pp.189-216
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• 2019

The frequent occurrence of overwhelming disasters necessitates risk communication systems capable of operating effectively in disaster contexts. Few studies have examined risk communication networks during disasters through social networking services (SNS). This study therefore investigates the patterns of risk communication by comparing Korean and international networks based on the social amplification of risk communication in the context of the Sewol ferry disaster (SFD). In addition, differences in language use and patterns between Korean and international contexts are identified through a semantic analysis using KrKwick, NodeXL, and UCINET. The SFD refers to the sinking of the ferry while carrying 476 people, mostly secondary school students. The results for interpersonal risk communication reveal that the structure of the Korean risk communication network differed from that of the international network. The Korean network was more fragmented, and its clustering was more sparsely knitted based on the impact and physical proximity of the disaster. Semantic networks imply that the physical distance from the disaster affected the content of risk communication, as well as the network pattern.