• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.565-566
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• 2021

Recently, interest in data analysis has increased as the importance of big data becomes more important. Particularly, as social media data and academic research communities become more active and important, analysis becomes more important. In this study, co-word analysis was conducted through altmetrics articles collected from 2012 to 2017. In this way, the co-occurrence network map is derived from the keyword and the emphasized keyword is extracted.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2004.11a
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• pp.265-271
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• 2004

The interaction network of protein -protein plays an important role to understand the various biological functions of cells. Currently, the high -throughput experimental techniques (two -dimensional gel electrophoresis, mass spectroscopy, yeast two -hybrid assay) provide us with the vast amount of data for protein-protein interaction at the proteome scale. In order to recognize the role of each protein in their network, the efficient bioinformatical and computational analysis methods are required. We propose a systematic and mathematical method which can analyze the protein -protein interaction network rigorously and enable us to capture the biological and physical essence of a topological character and stability of protein -protein network, and sensitivity of each protein along the biological pathway of their network. We set up a Laplacian matrix of spectral graph theory based on the protein-protein network of yeast proteome, and perform an eigenvalue analysis and apply a perturbation method on a Laplacian matrix, which result in recognizing the center of protein cluster, the identity of hub proteins around it and their relative sensitivities. Identifying the topology of protein -protein network via a Laplacian matrix, we can recognize the important relation between the biological pathway of yeast proteome and the formalism of master equation. The results of our systematic and mathematical analysis agree well with the experimental findings of yeast proteome. The biological function and meaning of each protein cluster can be explained easily. Our rigorous analysis method is robust for understanding various kinds of networks whether they are biological, social, economical...etc

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.856-866
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• 2011

This study examines how brands can be managed to influence the degree of their resistance to negative information and the extent to which this immunity to negative information predicts the purchase intention of consumers. In particular, the study investigated the difference between brand commitment and brand immunity on negative information in terms of the concept and the power of influence. A total of 410 usable questionnaires were obtained through an internet survey. A structural equation model using a correlation matrix with maximum likelihood was estimated using AMOS 18.0 to examine the relationship among a brand's social responsibility, quality orientation, brand innovativeness, easy purchase intention, and difficult purchase intention. The results showed that brand's social responsibility had significant effects on brand immunity to negative information while quality orientation and brand innovativeness had significant effects on brand commitment. In addition, brand immunity had significant effects on brand commitment and then brand commitment had a significant effect on easy and difficult purchase intentions. The key implications for research and management are discussed.

• Journal of Korean Academy of Nursing
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• v.46 no.1
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• pp.50-58
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• 2016

Purpose: The purpose of this study was to identify the knowledge structure of cancer survivors. Methods: For data, 1099 articles were collected, with 365 keywords as a Noun phrase extracted from the articles and standardized for analyzing. Co-occurrence matrix were generated via a cosine similarity measure, and then the network analysis and visualization using PFNet and NodeXL were applied to visualize intellectual interchanges among keywords. Results: According to the result of the content analysis and the cluster analysis of author keywords from cancer survivors articles, keywords such as 'quality of life', 'breast neoplasms', 'cancer survivors', 'neoplasms', 'exercise' had a high degree centrality. The 9 most important research topics concerning cancer survivors were 'cancer-related symptoms and nursing', 'cancer treatment-related issues', 'late effects', 'psychosocial issues', 'healthy living managements', 'social supports', 'palliative cares', 'research methodology', and 'research participants'. Conclusion: Through this study, the knowledge structure of cancer survivors was identified. The 9 topics identified in this study can provide useful research direction for the development of nursing in cancer survivor research areas. The Network analysis used in this study will be useful for identifying the knowledge structure and identifying general views and current cancer survivor research trends.

• Health Policy and Management
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• v.25 no.3
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• pp.174-184
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• 2015

This paper reviewed structure and current status of laws related to patient safety using patient safety law matrix to promote systematic approach in legal system of patient safety. Laws related to patient safety can be divided into three areas: laws for preventing; laws for knowing about; and laws for responding. In the case of Korea, gaps are especially prominent in the areas of laws for knowing about and responding. Patient safety law which will be enacted in July 2016 will fill the gap in the area of laws for knowing about. This law will be comprehensive law, covering the full spectrum of laws related to patient safety. However, after reviewing current patient safety law in Korea, the following drawbacks were identified: absence of code for grasping the current patient safety level; absence of code for mandatory reporting in patient safety reporting system; and absence of code for privilege about patient safety work product. Furthermore we need wider discussions about covering issues of open disclosure, apology law, coroners system, and complaint management system in patient safety law.

• English & American cultural studies
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• v.14 no.1
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• pp.287-310
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• 2014

While Janis Joplin is generally known as a hippie rock star of an untimely death to Korean audience, she is more strongly evoked in the image of blues mama in American context. Blues, definitely based on African-American vernacular tradition, is defined as a matrix, which is "a point of ceaseless input and output, a web of intersecting, crisscrossing impulses always in productive transit," to borrow Houston A. Baker's expression. This article explores how her life and music can be understood in blues tradition, especially in terms of personal and social transgression for which she was criticized, focusing on her blues performance. First of all, born and growing up in southern Texas between 1940s and 1960s, she expressed her innate suspicion against segregation and white supremacy, actively embracing rich black musical heritage of the area. Second, against the normative social and moral expectation of a middle class white woman to be a suburban housewife, she sought her own desire, whether it was professional ambition or sexual possibility. Third, beyond the selling image of a heterosexually lascivious blues mama, she dared to be a homosexual and bisexual, while it was not publically acknowledged. Along with her alcohol and drug dependence, such transgressions against normative social expectation were not made without her inner conflict, leaving a trace of trauma, hesitation, and the blues. While she was "buried alive in the blues," as a sacrifice at the altar of the 1960s, she still remains "alive" provoking "fire inside of everyone of us."

• Korean Journal of Construction Engineering and Management
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• v.20 no.1
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• pp.105-113
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• 2019

A construction project is a complex process consisting of interdependent tasks. If one task has variation, other tasks will be affected additionally and it is difficult to reach consensus on task variation due to the characteristics of the construction site that is going on quickly and complicatedly. Therefore, this study identified the root cause of task variation in construction process. Adjacent matrix was created with the tasks corresponding to major causes of variation, and the network analysis was performed. The results of social network analysis in the construction process can stabilize the work flow in the complex process and improve the reliability of the process plan and the project performance.

• Industry Promotion Research
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• v.5 no.2
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• pp.9-17
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• 2020

This study analyzed SWOT based on existing literature data to establish strategic tasks and strategic directions for revitalization of social economic organizations (Chungnam region). First, as a result of SWOT analysis of social economic organizations, a total of 16 factors were derived from the factors for strength (S), weakness (W), opportunity (O), and threat (T), with 4 factors each. Second, for strategic factors for social economic organizations, 16 strategic tasks were derived from SO strategy, ST strategy, WO strategy, and WT strategy through SWOT Matrix Mapping for factors established through SWOT analysis. Strategic direction 1 was established as a strategic direction to improve self-sufficiency by establishing a sustainable management body as a "advancing the support policy base of social economic organizations". Strategic Direction 2 is "Creating a Growth Foundation for Social Economic Organizations", which means a strategic direction for social economic organizations to grow and develop on their own. Strategic direction 3 is "discovering and fostering social economic organizations," which means a strategic direction for sustainable growth by discovering and fostering organizations that meet local characteristics so that social economic organizations can solve various problems in the region. Strategic direction 4 was 'promotion and promotion of social economic organizations', which means strategic directions for promotion of social economic organizations and promotion of education for employees.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.2
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• pp.109-132
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• 2012

This study examines the social network of scholars in the field of communication by using author cocitation data. A matrix containing the number of cocited documents between pairs of authors is created for social network analysis of scholars who are on the editorial board of Journal of Communication, and the networked map of the scholars is used to visualize the knowledge structure of the field by identifying groups of authors who are more central than others. In addition, the study compares the previous analysis performed in 2008 and the current analysis on the editorial board of the journal, which increased from 146 to 254 scholars in numbers. Author cocitation data was collected using Social Science Citation Index (SSCI) through the Web of Science database, and UCInet was used to create and visualize the author cocitation network and to analyze the correlation between the cocitation network and the factors that may have affected the structure of the cocitation network.

• Journal of People, Plants, and Environment
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• v.22 no.5
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• pp.455-466
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• 2019

This study was carried out to analyze trends in floral products and services through the big data analysis of various social networking services (SNSs) and then to provide objective marketing directions for the floricultural industry. To analyze the big data of SNSs, we used four analytical methods: Cotton Trend (Social Matrix), Naver Big Data Lab, Instagram Big Data Analysis, and YouTube Big Data Analysis. The results of the big data analysis showed that SNS users paid positive attention to flower one-day classes that can satisfy their needs for direct experiences. Consumers of floral products and services had their favorite designs in mind and purchased floral products very actively. The demand for flower items such as bouquets, wreaths, flower baskets, large bouquets, orchids, flower boxes, wedding bouquets, and potted plants was very high, and cut flowers such as roses, tulips, and freesia were most popular as of June 1, 2019. By gender of consumers, females (68%) purchased more flower products through SNSs than males (32%). Consumers preferred mobile devices (90%) for online access compared to personal computers (PCs; 10%) and frequently searched flower-related words from February to May for the past three years from 2016 to 2018. In the aspect of design, they preferred natural style to formal style. In conclusion, future marketing activities in the floricultural industry need to be focused on social networks based on the results of big data analysis of popular SNSs. Florists need to provide consumers with the floricultural products and services that meet the trends and to blend them with their own sensitivity. It is also needed to select SNS media suitable for each gender and age group and to apply effective marketing methods to each target.