• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.613-621
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• 2021

This study conducted a network analysis to determine how COVID-19 vaccine-related issue spread on Twitter during the introduction stage of the COVID-19. Issue diffusion tendency is analyzed according to the time period: phase 1 (initiation of vaccine introduction: March 7 - April 3, 2021), phase 2 (stagnant period of vaccination: April 4 - April 22, 2021), and phase 3 (increase of vaccination: April 23 - May 5, 2021). NodeXL was used for data collection and analysis. Daily Twitter network data were collected by entering search terms highly related to the COVID-19 vaccine. This study found that side effects-related opinions were repeatedly formed throughout the analysis period. As the vaccination rate increased and death cases were reported on media, death-related issues also emerged on Twitter. On the other hand, vaccine safety did not receive much attention on Twitter. The results of this study highlight the role of social media as a channel of issue diffusion when a national disaster strikes. We emphasize the need for the government to monitor public opinions on social media and reflect them in crisis communication strategies.

• Journal of Internet Computing and Services
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• v.14 no.1
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• pp.41-52
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• 2013

Social Network Service(SNS) have become very popular during the past few years. Also SNS, an current communication platform, greatly contributes to transmit the information rapidly and strengthen a sense of community and fellowship in military service. however it has vulnerable factors. For example, invasion of privacy, exposure of personal information and military data. In this particular case, it is a deathblow to the military service. Military Social Network Service require to protect the military security threats and disclosure of defense secrets. For such reasons we need the secure SNS that protects from any attacks or vulnerable factors. We present classification of functional type and analysis the SNS architecture. The goal of this work is propose military SNS security functional requirements for practical use safely.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.622-635
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• 2018

On top of presenting the possibility of expanding the game space to social space through mobile communication, MSNG reinforces the strengths of SNS and the fun of games through closer networks between users. This study empirically verified the effects of the characteristics of MSNG on interactions and user satisfaction by dividing the main characteristics of MSNG into graphics, challenge spirit, and reward, and then dividing the main characteristics of mobile social network service into social interaction and technical interaction. In the results of study, the main characteristics of MSNG such as graphics, challenge spirit, and reward all had significant effects on the social interaction and technical interaction while the social interaction and technical interaction of MSNG also had significant effects on the user satisfaction, so that the hypotheses of this study were all selected. The influence of the characteristics of MSNG on interactions might be because of shared feedbacks through graphics, game tasks, and reward in the performance process of MSNG, and such interactions make diverse people have the horizontal or circular communication, which is led to the increase of user satisfaction.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.65-81
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• 2015

Altmetircs is the new method to measure social impact of research result which couldn't be found by traditional way, through measuring how much research result is reacting to social media. As academic communication has been diverse and OA repository which can preserve diverse type of article has been activated, New paradigm that measure impact of articles through multifaceted and complex way has been started. This study considers background, status of application, pros and cons about altmetircs. And by using Impactstory which is open source based tool, analyses the research output about digital library of Korea, china and japan which is published in international journal. Besides, analyses correlation between Altmetricss and citation rates. As results, "saved" shows higher than "cited" in library research analysis, it means that even though articles are not cited by followed study, there are a lot of articles that has saved in reference management tool. And positive correlation(r = 0.718) exists between "saved" and "cited", it can be inferred that Altmetricss complement the bibliometrics based evaluation system. Meanwhile, Korean researches are saved more in reference management tool than other countries.

• Journal of Broadcast Engineering
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• v.25 no.5
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• pp.734-741
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• 2020

This article proposes a new pedestrian avoidance algorithm for social robots that coexist and communicate with humans and do not induce stress caused by invasion of psychological safety distance(Social Distance). To redefine the pedestrian model, pedestrians are clustered according to the pedestrian's gait characteristics(straightness, speed) and a social distance is defined for each pedestrian cluster. After modeling pedestrians(obstacles) with the social distances, integrated navigation algorithm is completed by applying the newly defined pedestrian model to commercial obstacle avoidance and path planning algorithms. To show the effectiveness of the proposed algorithm, two commercial obstacle avoidance & path planning algorithms(the Dynamic Window Approach (DWA) algorithm and the Timed Elastic Bands (TEB) algorithm) are used. Four cases were experimented in applying and non-applying the new pedestrian model, respectively. Simulation results show that the proposed algorithm can significantly reduce the stress index of pedestrians without loss of traveling time.

• Journal of Internet Computing and Services
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• v.12 no.2
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• pp.113-122
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• 2011

Social Network Service(SNS) has become a hot trend as a web service which helps users construct social relationships in the web and enables online communication. The information about user activities and behaviors obtained from the SNSs is expected to be an useful knowledge source for other services such as recommendation services. Most of previous researches on SNS rely on analyzing overall network topology and surveying the activities in a one-dimensional aspect. This paper propose a system for measuring multi-dimensional interaction through the activities in a SNS. The proposed system delivers an unified profile (consisting of profile and multi-dimension interaction) model from user-activities in Twitter.com. At the experimental section, some meaningful perspectives on a set of the unified profiles are described.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.317-329
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• 2019

Instagram, a photo and image centered social networking service, has received increasing attention these days, from scholars and practitioners. However, little is known about the social and psychological factors that lead consumers to use this service. To provide a baseline understanding on Instagram users, the current study was conducted to discover perfectionistic self-presentation tendency expressed by the Instagram users and explore the relationships between identified perfectionistic self-presentation and intention to use Instagram variables with 250 participants. In addition, this study tried to determine the moderator effect of self-efficacy and self-construal. A comprehensive survey was directed and a total of 380 participants were recruited to verify anticipated hypotheses and research questions. The research results suggest that perfectionistic self-presentation has five sub factors: others conscious self-presentation, subjective self-presentation, environmental adaptation self-presentation, self-expansion self-presentation, and social self-presentation. The implications of this research findings are discussed.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.255-265
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• 2018

This study investigated what kind of message forms and information sources more effect according to SNS' type and use intensity. To this end, this study did experimental analysis using collected data by survey which manufactured message forms and situational contents of information sources. According to analysis results, the effect of message forms showed difference according to SNS' type and use intensity. Realistic message showed greater effect in interest-based SNS and high use intensity. Evaluative message showed greater effect in relation-based SNS regardless of use intensity. The effect of information sources showed difference according to SNS' type. Friend or college and knower showed greater effect in relation- based SNS, and company showed greater effect in interest-based SNS. In the case of use intensity, friend or college showed the greatest effect without difference. Such results can provide a practical contribution in planning SNS advertising strategy. Future Studies need to expand survey variously into SNS and subject.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.165-166
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• 2019

Big data analysis is the ability to collect, store, manage and analyze data from existing database management tools. Big data refers to large scale data that is generated in a digital environment, is large in size, has a short generation cycle, and includes not only numeric data but also text and image data. Big data is data that is difficult to manage and analyze in the conventional way. It has huge size, various types, fast generation and velocity. Therefore, companies in most industries are making efforts to create value through the application of Big data. In this study, we analyzed the meaning of keyword using Social Matrix, a big data analysis tool of Daum communications. Also, the theoretical implications are presented based on the analysis results.

• Management & Information Systems Review
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• v.34 no.1
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• pp.81-101
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• 2015

This study considered eWOM communication not as persuasion process but as diffusion process and identified factors affecting eWOM spread. eWOM diffusion process can be divided into initial transmitting process and retransmission process. The current study analyzed the effects of informational traits(level of agreement, vividness, neutrality) of eWOM on the intention to retranmit eWOM and moderating effect of eWOM involvement. Research sample was gathered from young people because they are familiar with online communication process. Statistical analysis showed informational traits of eWOM all had a significant effects on the credibility of eWOM, credibility of eWOM influenced on the intention to retransmit eWOM significantly, and eWOM involvement moderated the relation between information traits of eWOM and the intention to retransmit eWOM. And then academic and managerial implication was discussed based on these findings.