• Proceedings of the Korean Society of Computer Information Conference
• /
• 2018.07a
• /
• pp.262-264
• /
• 2018

Many of users play Mobil Social Network Games (M-SNG). M-SNGs are played through social network, and typically features multiplayer and asynchronous gameplay mechanics. It is most often implemented as mobile devices with mobile instant messenger app. Kakaotalk provids mobile game platform. The purpose of this study is to find significant factors that have effects on the commitment of M-SNGs. We also conduct multi-group comparison test to study the difference in factors of models between time t and time t1. Time t is October, 2012 and time t1 is April, 2016. This study is to empirically test the research model using data collected from M-SNGs' users. We survey two different groups of time t and time t1 people with the same model. We use structural equation model analysis with AMOS 18.0 and compare two models of different times. This study is to give academicians and practitioners insight about its effects and implications

• The KIPS Transactions:PartD
• /
• v.16D no.6
• /
• pp.851-858
• /
• 2009

Mobbing is not restricted to problem of young people but the bigger recent problem occurs in workspaces. According to reports of ILO and domestic case mobbing in the workplace is increasing more and more numerically from 9.1%('03) to 30.7%('08). These mobbing brings personal and social losses. The proposed algorithm makes it possible to grasp not only current mobbing victims but also potential mobbing victims through user profile and contribute to efficient personnel management. This paper extracts user profile related to mobbing, in a way of selecting seven factors and fifty attributes that are related to this matter. Next, expressing extracting factors as '1' if they are related me or not '0'. And apply similarity function to attributes summation included in factors to calculate similarity between the users. Third, calculate optimizing weight choosing factors included attributes by applying neural network algorithm of SPSS Clementine and through this summation Mobbing-Value(MV) can be calculated . Finally by mapping MV of online social network users to G2 mobbing propensity classification model(4 Groups; Ideal Group of the online social network, Bullies, Aggressive victims, Victims) which is designed in this paper, can grasp mobbing propensity of users, which will contribute to efficient personnel management.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.23 no.2
• /
• pp.157-168
• /
• 2013

The social network service is the bidirectional media that all of the users are be able to directly produce, process, and distribute the information without distinction of the producer and consumer. Over increasing the users rapidly, the users are be able to obtain and share the various information, but the problems occur due to the spread of unreliable information on the service. Moreover, it is spreading the problems violating the privacy and decreasing the reliability of the users by exploiting the open environment. Therefore, sensitive information can be delivered only to users which information producer can trust, and the users should get the information from the trustworthy users. Due to this necessity, it needs the efficient method can evaluates the reliability of the users. In this paper, we define the reliability in the service, make the trust parameter by using the function of the service, and propose the dynamic user reliability evaluation scheme evaluating the reliability of users. We draw the trust range on the reliability of users by analyzing the proposed reliability evaluation scheme.

• 한국노년학
• /
• v.38 no.3
• /
• pp.481-499
• /
• 2018

The purpose of this study is to examine the impacts of smartphone use on structured social network types in the Korean elderly population. Data was derived from the 2014 survey of living conditions and welfare needs of Korean older persons collected by Korea Institute for Health and Social Affairs. A total of 4,180 participants were selected for the Propensity Score Matching (PSM) analysis. Based on propensity score estimates, the 491 smartphone users (treatment group) and 491 featurephone users (control group) were matched. Ordinary Least Squares (OLS) regression analysis was conducted to examine the relationship between smartphone use and structural social network types. The results showed that among retired older adults, people using smartphone had significantly better structured social networks than those using featurephone even after controlling for covariates. Smartphone users had the higher levels of social contact and social activity. These findings suggested empirical evidence that using smartphone positively affects structured social networks, which might be used as the basis for designing intervention programs to promote social networks and social engagement of retired older adults.

• Educational Technology International
• /
• v.16 no.1
• /
• pp.1-30
• /
• 2015

The purpose of this research is to propose a novel social LMS developed for group collaborative learning with a think-aloud tool integrated for sharing cognitive processes in order to improve group collaborative learning performance. In this developmental research, the system was designed with three critical elements: the think-aloud element supports learners through shared cognition, the social network element improves the quality of collaborative learning by forming a structured social environment, and the learning management element provides a understructure for collaborative learning for student groups. Moreover, the three critical elements were combined in an educational context and applied in three directions.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.16 no.4
• /
• pp.1-14
• /
• 2014

In social commerce, consumers can buy products at much cheaper price if the required minimum number of buyers are made. Social commerce has showed rapid growth as an innovative distribution system receiving highlights, however it is true that it hasn't been sufficiently studied. The purpose of the study for presents the direction of growth of the fashion industry with social commerce through qualitative studies. This study is to make a preference group of four people and a non-preference group of four people of social commerce users for the fashion items sold social commerce market and lastly proposes some improvements. The 'preference group' showed high familiarity and preference to social commerce; and they had the tendency of the pursuit of convenience and voluptuous shopping. The revisit of 'non-preference group' preferred open market and, had the tendency of economical shopping and, they are favorable to other categories of social commerce. The reasons of preference were that accessibility was good in fashion products purchasing behaviors in social commerce and, it was convenient and, price was good and new information on cheap and good products were provided; the reasons of non-preference were that the quality of the products and genuineness of articles are doubtful or, the price is not the lowest or, the carried over products were majority. In the perspective of the fashion products in social commerce they answered that it would be brighter but improvements are needed such as supplying exact information, the lowest price, diversified products and the subdivision of category.

• The Journal of the Korea Contents Association
• /
• v.14 no.12
• /
• pp.764-774
• /
• 2014

The purpose of the study is that which has to do with changes that are inherent in life or mental health of the local population, which appears as a subjective aspect of social capital of local residents. To examine factors that affect the mental health of the residents of a social capital accumulation and changes, as described a positive relationship between social capital in several previous studies related to the quality of life of local residents. The results showed that affect the mental health is the only community consciousness in 2010, higher community consciousness and higher network capacity of 2011 residents, but higher mental health scores, lower mental health scores were greater participation in social participation. Also score high in the mental health component of the group of the high number of people in all social capital and more social capital were higher than residents in low mental health score group. The indirect effects on mental health of the residents of social capital accumulation and changes.

• Journal of Korea Game Society
• /
• v.11 no.4
• /
• pp.105-116
• /
• 2011

In this research, we investigated users' social capital and subjective well-being in social network games. We had Focus Group Interview(FGI) and analyzed the interview data. Our finding is that the social capital was either decreasing or slightly increasing only between acquaintances, with the subjective well-being increasing, affected by the users' achievements, continuous caring, and interaction with NPCs, while not affected by the social capital. Our research also found the independent increase of subjective well being, not being affected by the increase of social capital.

• Journal of Information Technology Services
• /
• v.22 no.1
• /
• pp.57-74
• /
• 2023

It has been pointed out as a limitation that the rank of some efficient DMUs(decision making units) cannot be discriminated due to the relativity nature of efficiency measured by DEA(data envelopment analysis), comparing the production structure. Recently, to solve this problem, a DEA-SNA(social network analysis) model that combines SNA techniques with data envelopment analysis has been studied intensively. Several models have been proposed using techniques such as eigenvector centrality, pagerank centrality, and hypertext induced topic selection(HITS) algorithm, but DMUs that cannot be ranked still remain. Moreover, in the process of extracting latent information within the DMU group to build effective network, a problem that violates the basic assumptions of the DEA also arises. This study is meaningful in finding the cause of the limitations by comparing and analyzing the characteristics of the DEA-SNA model proposed so far, and based on this, suggesting the direction and possibility to develop more advanced model. Through the results of this study, it will be enable to further expand the field of research related to DEA.

• Journal of Information Technology and Architecture
• /
• v.11 no.4
• /
• pp.471-483
• /
• 2014

The purpose of this study was to look over the sharing and flow of information on tourism tourist destination made through social media by utilizing social network analysis. In this research for compared the exchange and diffusion relationships and made information sharing among users of the network group for the Seoul / Busan Tourism Twitter. The first part of analysis dealt with the network centralization and information dissemination patterns from a global perspective. The second part was an analysis of nodes with the highest degree centrality in order to identify the most influential user within the Twitter network and determine the information flow and user characteristics with respect to the information dissemination pattern in Seoul/Busan tourism Twitter. The results scientific evidence was presented that social media users' information search behavior information to understand the sharing and spreading patterns, social media as a marketing tool, simple products and services that will ultimately provide the desired information detainee information is not a means of promoting utilization was presented.