• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.89-96
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• 2018

In online communities, a large number of participants can exchange their opinion using replies without time and space restrictions. While the online space provides quick and free communication, it also easily triggers unnecessary quarrels and conflicts. The network established on the discussion participants is an important cue to analyze the confrontation and predict serious disputes. In this paper, we present a quantitative measure for polarity observed on the discussion network built from reply exchanges in online communities. The proposed method uses the comment exchange information to establish the user interaction network graph, computes its maximum spanning tree, and then performs vertex coloring to assign two colors to each node in order to divide the discussion participants into two subsets. Using the proportion of the comment exchanges across the partitioned user subsets, we compute the polarity measure, and quantify how discussion participants are bipolarized. Using experimental results, we demonstrate the effectiveness of our method for detecting polarization and show participants of a specific discussion subject tend to be divided into two camps when they debate.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.5
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• pp.61-76
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• 2018

Everything is coming into the world of network where modern people are living. The Internet of Things that attach sensors to objects allows real-time data transfer to and from the network. Mobile devices, essential for modern humans, play an important role in keeping all traces of everyday life in real time. Through the social network services, information acquisition activities and communication activities are left in a huge network in real time. From the business point of view, customer needs analysis begins with SNS data. In this research, we want to build an automatic collection system of SNS contents of web environment in real time using Python. We want to help customers' needs analysis through the typical data collection system of Instagram, Twitter, and YouTube, which has a large number of users worldwide. It is stored in database through the exploitation process and NLP process by using the virtual web browser in the Python web server environment. According to the results of this study, we want to conduct service through the site, the desired data is automatically collected by the search function and the netizen's response can be confirmed in real time. Through time series data analysis. Also, since the search was performed within 5 seconds of the execution result, the advantage of the proposed algorithm is confirmed.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.219-227
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• 2019

This study aims to examine Blockchain research trend using bibliometrics-based network analysis. The data were collected from WoS, Scopus, Korea Citation Index and National science & Technology Information Service, from 2009 to 2018. As results, the number of publications has started increasing rapidly from 2017 and it showed the initial stage of formation of coauthor network. Words often used in the title of the publications were related to application development, controversy and technology development. In addition, the majority of domestic papers are in the subject of social science, while international papers tend to focus on engineering issues. The results of the temporal analysis show that Korean researchers' block chain 3.0 started in 2017 and are rapidly increasing in 2018. The number of citations was associated with publication year in a statistically signifiant way. By examining these research trends, we hope that this paper can be a useful basis for the development of blockchain. Future research is expected to reveal more clearly the knowledge structure and characteristics of blockchain around the world.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.405-413
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• 2018

The purpose of this study was to investigate the influence of SNS addiction tendency, depression, and communication skill among university students. Subjects were 200 associate nursing students in Korea. The data were collected using a self-reporting questionnaire from October 11 to November 24, 2016. Data were analyzed by descriptive statistics, t-test, ANOVA, LSD test, Pearson's correlation coefficients, and multiple regression analysis using the SPSS/WIN 23.0 program. The levels of SNS addiction tendency were dependent on age (t=2.47, p=.044), connection SNS time (F=10.20, p<.001), and place of SNS use (t=2.54, p=.012). SNS addiction tendency was significantly correlated with depression. Higher SNS addiction was associated with higher rates of depression. SNS addiction tendency was not significantly correlated with communication skill in nursing students. Influential factors that affect SNS addiction tendency were depression (${\beta}=.265$, p<.001) and SNS usage time (${\beta}=.265$, p<.001), which explains about 15.5% of the variance. The results of this study indicate that nursing interventions are necessary to improve SNS addiction tendency, and early screening of nursing students is needed to develop health promotion programs for the vulnerable.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.560-569
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• 2015

Crowd funding is the method of raising money for a project, companies from a large group of people via the Internet, in return for future products or equity. Kickstarter is the largest and most successful crowdfunding site where creative projects raise reward based funding. Drawing on dataset of 80,267 projects with combined funding over $1.3b from 8.1m people, this paper suggest that backer select project based on their preference on the project, instead profitability of the project. It suggests that well-established platform and big size of network increases the chance of success of the project due to a ripple effect and blockbuster effects. Clear communication about the project's idea and goal is highly correlated with success. Regular communication on the project site, such as by constant progress updates, helps the success of the project. Equity-based crowdfunding is emerging as an innovative means of raising capital for businesses, so it has been receiving a lot of attention and expectation from the government and the market. The findings of this paper and others will help to get some understanding and insight into equity-based crowdfunding. However, Kickstarter differs from equity-based crowdfunding in the goals of the backers. Kickstarter's backers are not investors, they are contributors. To understand equity-based crowdfunding, the subject will need further study.

• Korean Journal of Social Welfare
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• v.58 no.1
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• pp.115-141
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• 2006

The purpose of this study is to understand the changes from adopting daily two-shift roster in child care institutions. To accomplish this purpose, we collected data mainly from depth interview with managers, child care workers, and children in child care institutions adopting daily two-shift roster, and analysed these data through qualitative case study approach. The results of this study are as follows. First, child care workers take the chance of recreation, their working conditions improved, they were participated in self-development activity, and they could make relationship with persons in social network. But, some participants worried about decrease of responsibility of workers. Second, one hand, possibility of high-quality care for child is increased, on the other hand, possibility of improving attachment relationship between workers and children is decreased. some children is confused by shift. But, most important strength is that partners have complementary parenting roles through discussion about parenting skills. They have developed communication skills by trial and error, and growed with children through sharing. Third, many qualified persons have applied for institution because of improvement of working conditions, thus institutions had the chance of adopting qualified workers. These workers have various abilities and resources, could mobilize resources from community, and could progress various programs and intervene for children. But, institutions had many difficulties in process adopting daily two-shift roster because of unstable financial support and previous structure. Most of participants worried about that local government may cut down a subsidy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.2
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• pp.69-76
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• 2015

This paper aims to analyze how the Venture Business Tendency of North Korean refugees affects social adaptation and family health, and to provide proposals for policy making on the issue. For the purpose, we specifically suggest analysis of activation plan that 48 Venture Business North Korean managed Enterprise types, Entrepreneur type, Business type, Gender, Profit etc. As a result of analysis of actual proof, First, The Venture Business North Korean refugees managed need to consult to be technology business professionally because they features to be self-employment than expertise and knowledge basis type. Second, the rate of success of North Korean refugees is researched that female is higher than male. Third, to support Venture Business of North Korean refugees, they need one on one incubating support syspen why they are inexperienced in network, technical skills. Fourth, Venture Business Tendency of North Korean refugees affects social adaptation and family health. Since mid 1990's, North Korean refugees have come to South Korea through China or third countries due to collapsing economy of North Korea. In an effort to help those escaping from North Korea, the Seoul government provided them with a 3-month settlement program. But they have had experienced difficulties in communication, cultural assimilation, and confusion in their value system and identity. For the purpose, one-on-one interview was carried out on 45 North Korean refugees living in Seoul and neighboring cities, and the interviewed group was classified into three categories: single households, single-parent families and families with parents. The study findings demonstrated four policy alternatives to help improve quality of life of North Korean refugees and to help their successful settlemen.

• Asian Journal for Public Opinion Research
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• v.8 no.3
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• pp.393-406
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• 2020

The discourse on the lockdown in Indonesia is getting stronger due to the increasing number of positive cases of the coronavirus and the death rate. As of August 12, 2020, the confirmed number of COVID-19 cases in Indonesia reached 130,718. There were 85,798 victims who have recovered and 5,903 who have died. Data show a significant increase in cases of COVID-19 every day. For this reason, there needs to be an evaluation of the government policy of the Republic of Indonesia in dealing with the COVID-19 pandemic in Indonesia. An evaluation of policies for handling the pandemic must include public opinion to determine any weaknesses of this policy. The development of public opinion about the lockdown policy can be understood through social media. During the COVID-19 pandemic, measuring public opinion through traditional methods (surveys) was difficult. For this reason, we utilized big data on social media as research data. The main purpose of this study is to understand public opinion on the lockdown policy in overcoming the COVID-19 pandemic in Indonesia. The things observed included: volume of Twitter users, top influencers, top tweets, and communication networks between Twitter users. For the methodological development of future public opinion research, the researchers outline the obstacles faced in researching public opinion based on big data from Twitter. The research results show that the lockdown policy is an interesting issue, as evidenced by the number of active users (79,502) forming 133,209 networks. Posts about the lockdown on Twitter continued to increase after the implementation of the lockdown policy on April 10, 2020. The lockdown policy has caused various reactions, seen from the word analysis showing 14.8% positive sentiment, 17.5% negative, and 67.67% non-categorized words. Sources of information who have played the roles of top influencers regarding the lockdown policy include: Jokowi (the president of the Republic of Indonesia), online media, television media, government departments, and governors. Based on the analysis of the network structure, it shows that Jokowi has a central role in controlling the lockdown policy. Several challenges were found in this study: 1) choosing keywords for downloading data, 2) categorizing words containing public opinion sentiment, and 3) determining the sample size.

• Journal of Service Research and Studies
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• v.3 no.1
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• pp.17-31
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• 2013

With the advent of smart phones, there are increasing demands from customers to connect to the social media services at any time and at any place without restraint. As a result, many foreign companies have lately been able to pursue two-way communication with customers through social media which has enabled them to see the reaction and the needs of customers immediately and respond timely. That is, they are actively engaged in the various marketing activities targeting customers using SNS. According to H. A. Simon's needle theory, it is efficient to make a decision within the bounded rationality due to the difficulty of collecting data in decision-making as well as the inability to collect all information because of limited time and money. If the information or the informant can be trusted, the customers would be able to make a quick decision and get higher satisfaction from it. Therefore, this study examines and thereby empirically demonstrates what role customers' trust plays in a company's marketing using SNS by exploring how trust condition works in the mediated model and, theoretically, intends to introduce an empirical methodology on more strictly mediated moderating effects and, in practice, revisit the role of trust on direct and indirect effect the SNS's quality has on the performance variables such as customer satisfaction and loyalty. This study thereby aims to provide a strategic tool for the companies that plan to use the SNS in developing marketing strategies.

• Korean Journal of Labor Studies
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• v.23 no.2
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• pp.109-139
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• 2017

In light that solidarity movements become significant under the situation of 'labor and labor movement' crisis, our study pays attention to the fact that the Hope Bus campaigns made remarkable achievements, and aims to figure out how those campaigns were successful, by focusing on their solidarity networking. The successful operating conditions of solidarity networking in the Hope Bus campaigns are examined in three aspects - the conditions of triggering, forming, and activating. The solidarity networking of Hope Bus campaigns were mainly triggered by the injustice of layoffs by Hanjin Heavy Industry, aerial protest by Jin-sook Kim, and the tragic symbol of the protest site (Crane no. 85). The solidarity movement of Hope Bus could be formed by the mutual trust and cohesive team-building of key network brokers, their utilization and expansion of social movement networks, and massive ripple effect of SNS-mediated communication. The solidarity networking of Hope Bus was effectively activated by open and de-hierarchical operations of the central planning group, active solidarity activities of participant groups, and the provision of 'heuristic experience' for developing the sensibility to labor solidarity. The virtuous combination of those three operating conditions leads to the building of unified forces among social movements, massive civil participation, and meaningful movement outcomes, through the solidarity networking of Hope Bus campaigns.