• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.693-701
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• 2012

Recently, the number of students who get double majors has tended to increase in many universities. As results, many problems occur because immoderate inflow of double-major students is concentrated in a specific popular department. In this paper, we study the characteristic of inflow and outflow of double majors using social network analysis and decision tree analysis. According to the results, SAT score affected the inflow of double majors the most. Additionally, department category, course evaluation score, employment rate also affected the inflow of double majors in the order named. On the other hand, department category affected the outflow of double majors the most. Additionally, SAT score, employment rate, course evaluation score also affected the outflow of double majors in the order named.

• Journal of Society of Preventive Korean Medicine
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• v.19 no.1
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• pp.23-33
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• 2015

Objective : This study aimed to develop a new category system of Yanseng(養生) for traditional Korean Medicine in order to prepare the ground for organizing the resources of Yangseng systematically. Method : We reviewed the existing medical books containing Yangseng contents. Based on the experts' consensus, we drew the new category system of Yangseng in consideration of a national trait of Korea and use of Yanseng in modern society. Results : First, We devided Yangseng category into two parts: methods and applications. Methods are divided into 5 parts: mind, diet, herb, Doinangyo(導引按蹻), life. A broad use of herbs in daily life is a national trait of Korea. Doinangyo contains relaxation methods like breathing, massages and exercises like Qigong and is also very popular way to maintain health in modern western society. Applications are divided into 6 parts: type of constitution, life cycle, seasons, type of symptoms and signs, type of Mibyung(未病) and diseases. We drew this 6 parts in consideration of use in the field of health care. Conclusion : The new category system of yangseng is based on existing theories and reflects Korean national trait and use of Yanseng in modern society. We hope this new category system play a role of foundation for organizing the resources of Yangseng systematically.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.161-176
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• 2014

Social commerce is a new internet business model which are types of joint purchase, social link, promotion, and on-off association etc. The recent public organization has the dual target to increase sound finance, and to improve customer satisfaction and the quality of public service. The purpose of this study is to propose the strategy of public social commerce which makes it's customers become positive purchasers. We analyzed 31 public organizations, and found that the type of social link interlocking with SNS site in the various purpose of public, and the offline association type using the service of location base would be utilized very highly. We also found that the joint purchase type and the promotion type would be used in the area of public and private selective services intending to make a profit. The anticipated performance are as follows: rapidity and reliance, customer made thing and goodwill, convenience for the service environment quality, publicity and diffusion, and sales promotion, productivity increase and new finding of revenue model for the profit increase outcome.

• Knowledge Management Research
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• v.22 no.4
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• pp.217-235
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• 2021

As 49% of the world's population uses social media platforms, communication and content sharing within social media are becoming more active than ever. In this environmental base, the one-person media market grew rapidly and formed public opinion, creating a new trend called sell-sumer. This study defined new types of influencers by product category by analyzing the subject concentration of the commercial/non-commercial keywords of influencers and the impact of the ratio of commercial postings on sales. It is hoped that influencers working within social media will be helpful to new sales strategies that are transformed into sell-sumers. The method of this study classifies influencers' commercial/non-commercial posts using Python, performs text mining using KoNLPy, and calculates similarity between FastText-based words. As a result, it has been confirmed that the higher the keyword theme concentration of the influencer's commercial posting, the higher the sales. In addition, it was confirmed through the cluster analysis that the influencer types for each product category were classified into four types and that there was a significant difference between groups according to sales. In other words, the implications of this study may suggest empirical solutions of social media sales strategies for influencers working on social media and marketers who want to use them as marketing tools.

• Journal of Information Science Theory and Practice
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• v.6 no.2
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• pp.46-61
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• 2018

The mobile social networking application Instagram is a well-known platform for sharing photos and videos. Since it is folksonomy-oriented, it provides the possibility for image indexing and knowledge representation through the assignment of hashtags to posted content. The purpose of this study is to analyze how Instagram users tag their pictures regarding different kinds of picture and hashtag categories. For such a content analysis, a distinction is made between Food, Pets, Selfies, Friends, Activity, Art, Fashion, Quotes (captioned photos), Landscape, and Architecture image categories as well as Content-relatedness (ofness, aboutness, and iconology), Emotiveness, Isness, Performativeness, Fakeness, "Insta"-Tags, and Sentences as hashtag categories. Altogether, 14,649 hashtags of 1,000 Instagram images were intellectually analyzed (100 pictures for each image category). Research questions are stated as follows: RQ1: Are there any differences in relative frequencies of hashtags in the picture categories? On average the number of hashtags per picture is 15. Lowest average values received the categories Selfie (average 10.9 tags per picture) and Friends (average 11.7 tags per picture); for highest, the categories Pet (average 18.6 tags), Fashion (average 17.6 tags), and Landscape (average 16.8 tags). RQ2: Given a picture category, what is the distribution of hashtag categories; and given a hashtag category, what is the distribution of picture categories? 60.20% of all hashtags were classified into the category Content-relatedness. Categories Emotiveness (about 4.38%) and Sentences (0.99%) were less often frequent. RQ3: Is there any association between image categories and hashtag categories? A statistically significant association between hashtag categories and image categories on Instagram exists, as a chi-square test of independence shows. This study enables a first broad overview on the tagging behavior of Instagram users and is not limited to a specific hashtag or picture motive, like previous studies.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.3
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• pp.10-31
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• 2021

The mixed-use concept definition, this study reveals, is that the mixing three or more major types of urban uses implements for economical, social and environmental values in our urban space. With this definition the study explores Seoul's mixed-use phenomenon. The quantification method, the study uses, is the relative entropy which calculate the balance of each urban use in a certain area. The relative entropy method, also known as the LUM(land-use mix score), uses three urban-use categories which is derived from the mixed-use concept definition. Hundreds of building-use types in the building regulations are categorized and calculate the LUM of Seoul's legal-status neighborhoods. The result interpreted as the criteria of Seoul's mixed-use phenomenon and categorize mixed land-use status in a certain value: 'non mixed-use' category has a value 0.631 and below, 'unbalanced mixed-use' category has a value between 0.631 and 0.884, 'balanced mixed-use' category has a value between 0.884 and 0.991 and 'complete mixed-use' category has a value 0.991 and over.

• Nutrition Research and Practice
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• v.15 no.sup1
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• pp.110-121
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• 2021

BACKGROUND/OBJECTIVES: Coronavirus disease 2019 (COVID-19) cases were first reported in December 2019, in China, and an increasing number of cases have since been detected all over the world. The purpose of this study was to collect significant news media reports on food services during the COVID-19 crisis and identify public communication and significant concerns regarding COVID-19 for suggesting future directions for the food industry and services. SUBJECTS/METHODS: News articles pertaining to food services were extracted from the home pages of major news media websites such as BBC, CNN, and Fox News between March 2020 and February 2021. The retrieved data was sorted and analyzed using Python software. RESULTS: The results of text analytics were presented in the format of the topic label and category for individual topics. The food and health category presented the effects of the COVID-19 pandemic on food and health, such as an increase in delivery services. The policy category was indicative of a change in government policy. The lifestyle change category addressed topics such as an increase in social media usage. CONCLUSIONS: This study is the first to analyze major news media (i.e., BBC, CNN, and Fox News) data related to food services in the context of the COVID-19 pandemic. Text analytics research on the food services domain revealed different categories such as food and health, policy, and lifestyle change. Therefore, this study contributes to the body of knowledge on food services research, through the use of text analytics to elicit findings from media sources.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.221-232
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• 2022

In this study, nursing students' perception of the elderly through content analysis were reviewed. Data collection took place from June to July, 2022, 63 statements suitable for the purpose of the study were analyzed. As a result, they were classified into 4 categories and 10 themes, 45 sub-themes. 1) 'Perspective for the Elderly' category involved negative view, positive view, sympathetic view, and indifference, 2) 'Aging Process' category involved the elderly's figure, 3) "The Elderly in Society" category involved the elderly in modern society, social phenomenon, right of the elderly, 4) 'Improving Relationships with the Elderly' category involved understanding the elderly, self-reflection. The topics derived in this way can be used as basic data to help nursing college students understand the perception of the elderly and improve the perception of the elderly.

• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.16-23
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• 2013

This paper analyzes the artistic practical use of social network visualization through the aesthetic information interpretation. The first social network visualization has emerged as 'Sociogram' in the form of social network analysis(SNA). Since social network has complex, the analyzing technology of social network has emerged. Early social network visualization has a practical purpose to measure the social structure, but current social network visualization divided into various forms from artistic expressions through information. This paper divide into two categories based on the artistic application of social network visualization. First, this research focuses on the static graph based on analog. Second, this research analyze the category of interacted visualization to generate a real-time digital image. This paper presents the fusion of paradigm between engineering and art through this way.

• Journal of the Korean Home Economics Association
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• v.44 no.11
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• pp.51-65
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• 2006

This study examined the influence of mothers' and children's emotional expressiveness on children's social competence. Sixty-five kindergarten children and their mothers were observed in a lab setting which included 5 free play and 5 task episodes. The children's and mothers' behaviors during these episodes were videotaped and rated by two coders in terms of emotional expressiveness, sociability to others, ability to regulate frustration, compliance, and autonomy. Intercoder reliability between the two coders for each behavioral category ranged from .84 to .99. The results showed that children's social competence was significantly influenced by their positive expressiveness, indicating that children with higher expressiveness were more sociable to others and less frustrated in a stressful situation. Significant relationships were also found between mothers' and children's negative expressiveness, and children's compliance and autonomy. In particular, the consistency between mothers' and children's levels of negative expressiveness significantly predicted the children's compliance and autonomy. The socialization of emotion between mothers and children was discussed, as was the relationship between emotional and social competence. Suggestions for future study were also presented.