• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.153-158
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• 2016

As the number of social network users increases, the information on event such as social issues and disasters receiving attention in each region is promptly posted by the bucket through social media site in real time, and its social ripple effect becomes huge. This study proposes a detection method of events that draw attention from users in specific region at specific time by using twitter data with regional information. In order to collect Twitter data, we use Twitter Streaming API. After collecting data, We implemented event detection system by analyze the frequency of a keyword which contained in a twit in a particular time and clustering the keywords that describes same event by exploiting keywords' co-occurrence graph. Finally, we evaluates the validity of our method through experiments.

• Journal of the Korean Home Economics Association
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• v.51 no.2
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• pp.207-218
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• 2013

Social capital theory provides a framework for analyzing the economic well-being. The purpose of this study is to analyze the age effect of social capital by comparing middle aged and the elderly, as well as to investigate the independent effects of social capital on their subjective economic well-being, respectively. The two concepts of "trust" and "social network" were used to measure the level of social capital. Comparisons between the age groups were made regarding the relationships between social capital and economic well-being of four age groups, including younger middle-aged, older middle-aged, younger elderly, and older elderly. Data from the $2^{nd}$ wave of the Korean Longitudinal Study of Ageing (KLoSA) were used. The final sample for this analysis is 8,406 respondents aged 45~84. The major findings are as follows. First, the level of social capital, trust and social network, is statistically different by age groups. Second, the model fits in the case of model including social capital variables are all larger than their counterparts in the four age groups. Third, social capital is "resource" that can contribute to increasing the subjective economic well-being. Based on the empirical results, implications for welfare policies related with issues of social security for the elderly in Korea are provided.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.305-323
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• 2012

This study examines online social media diffusion across different countries that will help to provide a picture of current global online social network services (SNSs). Analyzing country-level data drawn from 78 nations, we find that non-technological factors such as culture and language as well as technological factors including Internet penetration rate and smartphone adoption rate have significant effects on online social media diffusion. These findings, derived from a broad range of different countries, not only provide theoretical insights into understanding critical factors that enable successful global expansion of online social media services but also help practitioners plan their marketing strategies more effectively in a global context.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.415-425
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• 2017

The purpose of this study is to examine the effect of perceived enjoyment and user's characteristics on the intention of continuous use when users play social network games on a mobile device. In addition, the study empirically investigated the mediating effect of flow experience in this process. To fulfill the purpose, this study conducted a survey on 244 college students and collected data. When the collected data was analyzed, the followings were known. First, perceived enjoyment, and both self-efficacy and innovation propensity of user's characteristics turned out to have a positive (+) effect on the intention of continuous use in mobile social network game. Second, in the process, it was known that flow experience played a mediating role. These findings are expected to be useful data in developing game contents of high quality or making a marketing strategy for continuous improvement of online social network game industry. In addition, future studies are expected to generalize the research to various age groups.

• International Journal of Contents
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• v.14 no.3
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• pp.27-31
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• 2018

Social network service (SNS) data related to green tourism were used to estimate preferred tour sites and users' interests. Keywords related with green tour activities were employed to search the SNS data. SNS data were collected from Korean blogs such as Naver and Daum from June $1^{st}$ to August $31^{st}$ between 2015 and 2017 using text-mining solution. During the study period, seven hundred and five posts were analyzed. Associated words that frequently co-occurred with keywords were classified into different categories depending on the nature of associated words. Associated words included swimming pools and camping sites (location); experience and swimming pools (attribute); and water play and culture (culture/leisure). Our data suggest that SNS users with experience of green tourism in Korea exhibited interest in green tourism with swimming pools, camping sites, experience, water play and/or culture rather than particular popular sites. Based on the findings, it is recommended that preferred facilities such as swimming pools should be provided at green tourism sites to meet the users' needs and to facilitate green tourism.

• Journal of Preventive Medicine and Public Health
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• v.46 no.1
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• pp.28-38
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• 2013

Objectives: This study aimed to collect information that will help enhance the social networks and improve the quality of life among elderly people by observing the relationship between their social network and health-related quality of life (HRQoL) and by analyzing social network factors affecting HRQoL. Methods: This study was based on the 2008 Community Health Survey in Yeoncheon County. Three hundred elders were included in the study population. We compared the revised Lubben Social Network Scale (LSNS-R) score and Euro quality of life-5 dimensions health status index by demographic characteristics and chronic disease prevalence. We analyzed the data using multiple regression and tobit regression by setting the HRQoL as the dependent variable and social network and other characteristics as the independent variables. We analyzed social network factors by using factor analysis. Results: The LSNS-R score differed significantly according to age and existence of a spouse. According to the results from the hierarchical multiple regression analysis, the LSNS-R explained 0.10 of the variance and LSNS-R friends factor explained 0.10 of the variance. The tobit regression indicated that the contribution of the LSNS-R family size factor to the regression coefficient of the independent variable that affected the HRQoL was $B_T$=2.96, that of the LSNS-R family frequency factor was $B_T$=3.60, and that of LSNS-R friends factor was $B_T$=5.41. Conclusions: Social networks among elderly people had a significant effect on HRQoL and their networks of friends had a relatively higher effect than those of family members.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.491-496
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• 2024

The purpose of this study is to examine the effects of leisure satisfaction on cognitive function and to examine mediating effect of social network in the relationship between leisure satisfaction and cognitive function of older adults. For this, this study utilized 2023 Social Survey data and 9,526 older adults aged over 65 years were analyzed. Study results showed that first, leisure satisfaction had positive effects on cognitive function of older adults. Second, social network had positive effects on cognitive function of older adults. Third, leisure satisfaction of the elderly had effects on cognitive function mediated by social network. That is, older adults with higher level of leisure satisfaction had more number of social network leading to a higher level of cognitive function. Results of this study show that leisure activities can be considered in maintaining and improving cognitive function of older adults and there is a need to promote types of leisure activities which extend social network.

• Korean journal of communication and information
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• v.67
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• pp.7-34
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• 2014

This study analyzes the characteristics, implications, and problems of Social Network of Press Organizations from the Kim Dae-jung administration to the Lee Myung-bak administration in Korea. For analyzing these issues, this study attempts to investigate the traits of social network structure based on the density analysis, distribution character analysis and correspondence analysis in each and among regimes. To answer these questions, this study utilizes human relationship data which related to personal network aspects (place of birth, affiliated college) and expertise aspects (types of major field), and which data has been gathered from the biographical web-site of Press Organizations in Korea. The results showed that the membership format of each Press Organizations depends on the connection with political environment directly and indirectly. Especially, the network traits of Broadcasting Press Organizations stands out a place of birth aspect. This findings indicate that the broadcasting policy reality that the path of decision making is connected with the political environment is more effective.

• The Journal of Information Systems
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• v.29 no.2
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• pp.221-242
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• 2020

Purpose This study collects data of the recently activated online black market and analyzes it to present a specific method for preparing for a hacking attack. This study aims to make safe from the cyber attacks, including hacking, from the perspective of individuals and businesses by closely analyzing hacking methods and tools in a situation where they are easily shared. Design/methodology/approach To prepare for the hacking attack through the online black market, this study uses the routine activity theory to identify the opportunity factors of the hacking attack. Based on this, text mining and social network techniques are applied to reveal the most dangerous areas of security. It finds out suitable targets in routine activity theory through text mining techniques and motivated offenders through social network analysis. Lastly, the absence of guardians and the parts required by guardians are extracted using both analysis techniques simultaneously. Findings As a result of text mining, there was a large supply of hacking gift cards, and the demand to attack sites such as Amazon and Netflix was very high. In addition, interest in accounts and combos was in high demand and supply. As a result of social network analysis, users who actively share hacking information and tools can be identified. When these two analyzes were synthesized, it was found that specialized managers are required in the areas of proxy, maker and many managers are required for the buyer network, and skilled managers are required for the seller network.

• Journal of Information Technology Applications and Management
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• v.24 no.1
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• pp.11-24
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• 2017

Due to development of smart and network technologies, social network service (SNS) has become popular in daily life. With increasing use of SNS, the scope of communication has been widened. Lots of activities can be easily shared daily on SNS. Differing with opinions about more activated communication on SNSs, some people have viewpoints that, in some cases, communications may be decreased among SNS users. This research is to investigate whether there may be the differences among generations in the social network age. Major concerns of study are as follows. First, there may be differences in age related to the decrease of communication activities. On the other hand, there may be differences among generations related to the increase of communication. Two research steps have been adopted that the FGI (focus group interview) was to understand. Defining actual communication status was the first step, and an empirical approach, a survey to verify hypotheses, was performed as the second step. Key findings of the study were that older generations perceived communication has been decreased. Research results can provide implications regarding characteristics of SNS communication.