• Journal of Information Technology Applications and Management
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• v.18 no.1
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• pp.41-53
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• 2011

The rapid development and widespread application of Internet has provided a platform for people to participate and discuss social hotspot events. In the meantime, social events may be spread throughout the Internet more quickly and widely than they did ever before, and possibly lead to serious social problems due to opinion violence or seditious rumour. This paper analyzed the Internet spread of social events, and presented a five-stage model to describe the evolution process of that spread. Furthermore, the improved IBF algorithm was applied to extract a pruned connected graph aiming to find the key nodes and the shortest spread path for the control of that spread. After analyzing the different factors that may cause the netizens' attention, this paper concluded BBS type, the visit quantity and the opinion leader are key factors which affect the Internet spread. Based on those researches, a life-cycle emergency management methodology and the related strategies were proposed for the achievement of healthy spreading environment on Internet.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.1
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• pp.46-50
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• 2010

Power system outages can lead to huge economic losses for various industries. Jeju island power system outage in 2006 also caused significant social and economic impacts in Korea. There have been numerous attempts to evaluate the economic costs of power system outages. Power system outages can also have financial impacts on electric power industry. This paper attempts to analyze the economic impacts of the 2006 Jeju island power system outage on the values of the firms in the power industry using event study. Empirical analysis results are presented to show the economic impacts of the 2006 Jeju island outage on the values of the firms in the power industry.

• Annual Conference on Human and Language Technology
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• 2010.10a
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• pp.94-99
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• 2010

This paper is to present how a network between words is formed. Not only have we looked at the distributivity, frequency and strength in connections between related words, but we have also presented some way to shed lights on what this network means to linguistic and social studies. The target source is morpho-analysis components of Trends 21 corpus which cover all newspaper articles from lour major newspapers, including Chosun, Joongang, Donga, and Hankyoreh, issued between 2000 and 2008. Based on nodes, links, and their connectivity indexes - density, degree, and centralizations, we have been able to retrieve and cluster related words forming the network with 20 event nouns. To reduce noise, we have considered the words whose t-score is above 1.64. By conducting both network and statistical analyses, we have presented the network of each event noun.

• 한국노년학
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• v.28 no.4
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• pp.969-989
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• 2008

This study attempts to explain how depression among community elderly relate to suicidal ideation and whether or not the psycho-social characteristics of elderly persons moderate the relationship between these two variables. This study was conducted in Seoul, Busan, and Daegu and included 273 persons 65 years and above who were using senior welfare centers in the communities. For the questionnaire and analysis, this research uses the Health Care, Life Event, Self-esteem, Family Assessment scales. This research utilizes a wide range of statistical analyses, such as descriptive analysis, Pearson's correlation, reliability analysis, multiple regression, and general linear modeling. The calculations employed the use of SPSS/PC+ 12.0. This research indicates, among other things, that elderly persons with a high level of depression and psycho-social characteristics show a tendency toward higher suicidal ideation and that the level of self-esteem, life event, and family communication plays a moderating role in the relationship between depression and suicidal ideation among community elderly. In conclusion, elderly persons who experienced with a high level of psycho-social characteristics shows a relatively greater tendency toward suicidal ideation when compared to elderly persons having a low level of psycho-social characteristics. The intervention's effectiveness in reducing suicidal ideation can reinforce self-esteem, and cope with stressful life events and family discord as prevention strategy to reduce risk factors for suicide in late life.

• Mood & Emotion
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• v.9 no.2
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• pp.57-63
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• 2011

Objectives : This study aimed to investigate the prevalence and risk factors of depression within two weeks after stroke. Methods : A total of 362 stroke patients were recruited. Depression (major and minor depressive disorders) was diagnosed by applying DSM-IV criteria. Data on socio-demographic characteristics (age, gender, education, marital state, living state, religion, occupation, income, life event, and social support), stroke severity (NIHSS), disability (BI), stroke hemisphere and location, vascular risk and disease, and previous history of stroke and depression were obtained. Results : Depression was present in 90 (24.9%) patients: major depression 29 (8%) and minor depression 61 (16.9%) patients. In the univariate analyses, depression was associated with older age, higher number of stressful life event, poorer social support, severe disability, anterior stroke location, previous history of stroke and depression. In the multivariate analyses, depression was independently associated with higher number of stressful life events and poorer social support. Conclusion : Depression was common and was determined by premorbid levels of stress and social support in stroke patients at acute stage. More intensive psychiatric care and intervention is needed for the high risk group.

• Journal of Family Resource Management and Policy Review
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• v.14 no.4
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• pp.1-20
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• 2010

The purpose of this study is to provide fundamental information of the practice of coming-of-age ceremonies as a family event. In order to achieve the purpose of this study, research questionnaires were developed, and 321 mothers residing in Seoul, South Korea were selected as the research subjects. The study was conducted from April 15th, 2010 to June 25th, 2010. The collected data was analyzed using SPSS17 computer programs. The conclusions are as follows. 1. In the future, coming-of-age ceremonies will be necessary in family event. 2. Education for mothers (specifically for mothers under the age of 30) opposed to coming-of-age ceremonies is necessary. 3. The contents for the education of coming-of-age ceremonies must include ceremony processes, alcohol consumption etiquette, and sex education. 4. Coming-of-age ceremonies, as family events, will be desirable to have on the 19th birthday. 5. Education of coming-of age ceremonies must be done in schools or social educational institutions. The Healthy Family Support Center will especially be able to play a central role. 6. Education of coming-of-age ceremonies is necessary even from the popular media.

• The Korean Journal of Applied Statistics
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• v.25 no.4
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• pp.621-632
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• 2012

Recurrent event data can be easily found in longitudinal studies such as clinical trials, reliability fields, and the social sciences; however, there are a few observations that disappear temporarily in sight during the follow-up and then suddenly reappear without notice like the Young Traffic Offenders Program(YTOP) data collected by Farmer et al. (2000). In this article we focused on inference for a cumulative mean function of the recurrent event data with these incomplete observation gaps. Defining a corresponding risk set would be easily accomplished if we know the exact intervals where the observation gaps occur. However, when they are incomplete (if their starting times are known but their terminating times are unknown) we need to estimate a distribution function for the terminating times of the observation gaps. To accomplish this, we treated them as interval-censored and then estimated their distribution using the EM algorithm proposed by Turnbull (1976). We proposed a nonparametric estimator for the cumulative mean function and also a nonparametric test to compare the cumulative mean functions of two groups. Through simulation we investigated the finite-sample performance of the proposed estimator and proposed test. Finally, we applied the proposed methods to YTOP data.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.107-115
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• 2018

US Retailers consider two major holiday shopping days as their most profitable-the Friday after Thanksgiving, Black Friday, and the Monday after Thanksgiving, CyberMonday. Online shopping discount events have boosted up the shopping markets resulting in pumping up National economy. For such reasons, Korea also has launched online shopping discount event, which is called 'Cyber hot days'. The primary purpose of this paper is to understand consumer behavior on Cyber hot days and suggest how retailers can harness those consumer behaviors and how government agency can support both retailers and consumers to boost up shopping markets. The results of empirical test shows that economic value, emotional value, and product variety were found to be significantly related to consumers' attitude on Cyber hot days, but convenience value, social value, and product uniqueness were not. Consumers' attitude was also found to be significantly related to the repurchase intention. It implicates that price, enjoyment, and product variety are important aspects to Korean consumers when they purchase during online shopping discount event.

• Asian Journal for Public Opinion Research
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• v.1 no.4
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• pp.249-267
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• 2014

Social media is being increasingly utilized in disaster relief work to identify safety issues, locate displaced-victims, and seek or provide support for those who need help. The presence of social media in disaster management has changed significantly in recent years, as it was not prevalent in the 2008 Wenchuan earthquake, but had become a powerful force in the 2013 Ya'an earthquake. This paper discusses the development of social media in disaster management via making a comparison between how it functioned in the two earthquakes. It examines the following aspects: who are the stakeholders that use social media in the earthquake management; how do they adopt this means in response to the earthquakes; and what are the outcomes of adopting social media with regards to public engagement and collaboration in an emergency event. As Sina Weibo acts as the equivalent of China's Twitter, the methodology relies on an analysis of posts in Weibo. The outcomes primarily show that: (1) authorities, celebrities and the public actively adopted social media for the purpose of information dissemination and resource mobilization; and (2) social media users are both content consumers and content generators in the times of earthquakes. The study concludes that social media as a backchannel communication tool is helpful for government institutions, corporations, and nonprofit organizations to build relationships with their stakeholders in the disaster management cycle. The result will interest academics and emergency management practitioners who are concerned with improving disaster communication.

• Spatial Information Research
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• v.20 no.5
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• pp.99-109
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• 2012

Recently, due to the growth of social media and spread of smart-phone, the amount of data has considerably increased by full use of SNS (Social Network Service). According to it, the Big Data concept is come up and many researchers are seeking solutions to make the best use of big data. To maximize the creative value of the big data held by many companies, it is required to combine them with existing data. The physical and theoretical storage structures of data sources are so different that a system which can integrate and manage them is needed. In order to process big data, MapReduce is developed as a system which has advantages over processing data fast by distributed processing. However, it is difficult to construct and store a system for all key words. Due to the process of storage and search, it is to some extent difficult to do real-time processing. And it makes extra expenses to process complex event without structure of processing different data. In order to solve this problem, the existing Complex Event Processing System is supposed to be used. When it comes to complex event processing system, it gets data from different sources and combines them with each other to make it possible to do complex event processing that is useful for real-time processing specially in stream data. Nevertheless, unstructured data based on text of SNS and internet articles is managed as text type and there is a need to compare strings every time the query processing should be done. And it results in poor performance. Therefore, we try to make it possible to manage unstructured data and do query process fast in complex event processing system. And we extend the data complex function for giving theoretical schema of string. It is completed by changing the string key word into integer type with filtering which uses keyword set. In addition, by using the Complex Event Processing System and processing stream data at real-time of in-memory, we try to reduce the time of reading the query processing after it is stored in the disk.