• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.259-261
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• 2022

스프링은 자바 엔터프라이즈 애플리케이션 개발에 사용되는 프레임워크로써, 애플리케이션을 빠르고 효율적으로 개발할 수 있도록 틀과 공통 프로그래밍 모델, 기술 API 등을 지원해주며, 스프링 부트는 스프링 프레임워크를 사용하는 프로젝트를 간단하게 준비할 수 있는 스프링 프레임워크의 서브 프로젝트이다. 본 연구에서는 스프링 부트를 활용하여 간단한 블로그를 설계 및 구현한다. 간단한 블로그에서는 다른 사람과의 식별을 위한 로그인 및 회원가입, 다른 사람과의 생각을 공유하기 위해 게시물 및 댓글 읽기, 쓰기, 수정, 삭제의 기능을 설계하였다. 이러한 설계는 스프링 부트를 사용하여 모듈 간의 의존성 관리, Spring Web MVC를 사용하여 서비스 로직과 사용자 인터페이스를 분리하며, Spring Data JPA, Spring Security 등을 이용하여 회원식별과 게시물 및 댓글 쓰기, 읽기, 수정, 삭제 등을 구현하였다.

• Annual Conference of KIPS
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• 2008.11a
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• pp.225-228
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• 2008

최근 인터넷 기술의 발달로 인해서 온라인에서 다양한 사회연결망이 출현하였고, 이를 분석하기 위한 연구가 활발히 진행되고 있다. 온라인 사회연결망의 대표적인 예로 블로그 연결망을 들 수 있다. 블로그 연결망에서는 블로그 사용자들이 작성한 게시글들이 다양한 방식을 통하여 다른 사용자들에게 전파된다. 본 논문에서는 이를 게시글이 파급되었다고 부르고, 게시글을 파급한 사용자는 게시글을 소유하고 있는 사용자에게 동화되었다고 부른다. 블로그 내에는 다수의 사용자들에게 컨텐츠를 파급시키는 영향력 있는 사용자들이 존재한다. 본 논문에서는 블로그 연결망에서 파급 파워 유저를 파악하기 위해서 독립 전파 모델을 이용한다. 독립 전파 모델의 수행을 위해서는 사용자들 간의 동화확률을 부여하는 것이 필수적이다. 따라서 본 논문에서는 사용자의 컨텐츠 파워, 재생산 파워의 개념과 이를 계량화 하는 방법을 제안하고, 이 값들을 이용하여 사용자간의 동화확률을 부여하는 방안을 제안한다. 끝으로, 실제 블로그 연결망에서 제안하는 기법과 기존의 기법을 이용하여 파워 유저들을 파악하는 실험을 수행하고, 실험결과를 비교 및 분석한다.

• Annual Conference of KIPS
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• 2008.05a
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• pp.223-226
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• 2008

인터넷 기술의 발달로 인해 온라인상에서도 사회연결망이 나타나고 있다. 블로그 월드는 대표적인 온라인 사회연결망이다. 블로그 월드의 구성원인 블로거는 정보를 생성할 수도 있고, 정보를 얻기 위하여 다른 블로거와 명시적 관계를 맺을 수도 있으며, 이러한 관계를 통해 온라인 사회연결망인 블로그연결망을 구성한다. 사회 연결망 이론에서는 사회 연결망에서 정보의 파급이 구성원간의 관계를 통하여 이루어진다고 한다. 그러나 블로그 연결망과 실제 블로그 월드에서 발생한 정보 파급 이력을 비교 관찰해 보면, 사회연결망 이론과 달리 관계가 존재하지 않는 구성원 사이에서 정보 파급이 일어난다. 또한, 정보의 파급이 폭발적으로 일어나는 현상도 존재한다. 본 논문에서는 이러한 두 현상이 서로 연관이 있음을 밝히고, 이러한 현상을 일으키는 원인을 규명하는 분석방법을 제안한다. 제안하는 분석방법은 다음과 같다. 우선, 관계가 존재하지 않는 구성원 간에 정보 파급 현상을 유발할 수 있는 후보원인들을 모두 도출한다. 다음으로, 폭발적인 정보 파급 현상을 보이는 정보의 집단을 데이터 마이닝의 클러스터링 기술을 이용하여 도출한다. 도출된 정보의 집단과 후보 원인간의 상관관계를 데이터 마이닝의 특성분석 방법을 이용하여 구한다. 블로그 월드는 구성원과 그 사이의 관계, 정보 파급 이력에 대한 데이터를 모두 저장하고 있다. 본 논문은 실제 블로그 월드의 데이터를 이용하여 블로그 월드에서 정보의 폭발적 파급을 유발하는 원인들을 규명하고 그 원인들이 가지는 특징을 설명하였다.

• International Commerce and Information Review
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• v.15 no.3
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• pp.111-133
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• 2013

The purpose of this study is to evaluate the effect that the utilization motivation of SNS (Social Network Service) marketing affects on the export performance of medium small sized exporting enterprises (MSEE) directly and indirectly. This study is to investigate the effects of the export marketing environment of MSEE onto the motivation of SNS application and then it proposes a model which evaluates the performance of SNS marketing. In this study, for data collection and analysis questionnaire, survey was conducted for MSEE participated in trade exhibitions sponsored by COEX and used TradeSOS consulting services of Korea International Trade Association. The results showed that MSEE utilized SNS for cost reduction.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.87-94
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• 2020

Social reviews such as SNS feeds and blog articles have been widely used to extract keywords reflecting opinions and complaints from users' perspective, and often include proper nouns or new words reflecting recent trends. In general, these words are not included in a dictionary, so conventional morphological analyzers may not detect and extract those words from the reviews properly. In addition, due to their high processing time, it is inadequate to provide analysis results in a timely manner. This paper presents a method for efficient keyword extraction from social reviews based on the notion of cohesion scoring. Cohesion scores can be calculated based on word frequencies, so keyword extraction can be performed without a dictionary when using it. On the other hand, their accuracy can be degraded when input data with poor spacing is given. Regarding this, an algorithm is presented which improves the existing cohesion scoring mechanism using the structure of a word tree. Our experiment results show that it took only 0.008 seconds to extract keywords from 1,000 reviews in the proposed method while resulting in 15.5% error ratio which is better than the existing morphological analyzers.

• Management & Information Systems Review
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• v.30 no.1
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• pp.159-185
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• 2011

We can divide brand experience in the brand community of online blog into the following five types: sensuous experience, emotional experience, cognitive experience, behavioral experience, and relational experience. And this study is aimed at looking into what differences are among the effects those five have on the consumer-brand relationship. Also we wanted to analyse empirically what structural relations this consumer-brand relationship through the whole experience has with brand attachment and brand commitment. The outcome shows that emotional experience, cognitive experience and relational experience affect the consumer-brand relationship but sensuous experience and behavioral experience. And our analysis of what structural relations the consumer-brand relationship through brand experience has with brand attachment and brand commitment revealed that the consumer-brand relationship through brand experience has a direct effect on brand attachment but it doesn't have on brand commitment. Brand commitment was confirmed to be affected only through brand attachment. Finally, this is in agreement with the result of the precedent study that brand commitment is an effect variable of brand attachment.

• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1257-1270
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• 2016

This study deals with the prediction of the total number of movie audiences as a measure for the box office. Prediction is performed by classification techniques of data mining such as decision tree, multilayer perceptron(MLP) neural network model, multinomial logit model, and support vector machine over time such as before movie release, release day, after release one week, and after release two weeks. Predictors used are: online word-of-mouth(OWOM) variables such as the portal movie rating, the number of the portal movie rater, and blog; in addition, other variables include showing the inherent properties of the film (such as nationality, grade, release month, release season, directors, actors, distributors, the number of audiences, and screens). When using 10-fold cross validation technique, the accuracy of the neural network model showed more than 90 % higher predictability before movie release. In addition, it can be seen that the accuracy of the prediction increases by adding estimates of the final OWOM variables as predictors.

• Korean journal of communication and information
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• v.53
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• pp.73-99
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• 2011

This study compares blogs of professional reporters with those of citizen reporters in terms of watchdog and interactivity functions. Watchdog function was analyzed in light of the extent of soft news and the degree of critical relationship with the government. Interactivity was assessed by analyzing readers' comments on the articles of reporter blogs. for citizen journalism and for professional one were chosen in order to minimize any discrepancies caused by ideological differences. As a result of the content analyses, citizen reporter blogs were found to deliver soft news more frequently than those of , whereas the former had stronger tendency to maintain the critical relationship with the government than the latter. As for the interactivity function, although the number of comments uploaded to citizen reporter blogs was higher than that of professional reporter blogs, the latter was found to meet the standards of communicative interaction more adequately than the former.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.157-171
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• 2014

As electronic word of mouth plays an important role in purchase behavior among consumers, the number of studies on the impact of electronic word of mouth is rapidly increasing. Nevertheless, it is difficult to discover comparative studies on the mass media which had a great impact on consumer's purchase behavior before the impact of electronic word of mouth becomes greater versus the social media where electronic words of mouth are created and distributed. It is considered that it seems to be necessary to find an appropriate mutual supplement point between the media designed for a successful marketing by comparing and analyzing the existing mass media versus the social media, major media for electronic word of mouth. Therefore, this study aims to compare and analyze the impact of comments on movie revenue in the representative forms of mass media such as online news and social media blogs. In particular, this study also considers an appropriate media for promoting movies by period by comparing and analyzing the two media before and after film release. For analysis, this study collects the information on the number of comments on online news and blogs in 70 Korean movies released in 2011 and 2012 from five weeks before film release to eight weeks after film release on a daily basis via Naver. This study also collects the information on the movie revenue using the statistical data of movie industry from Korean Film Commission. As a result of empirical data analysis, it is found that the two media showed no difference in movie revenue before film release, but after film release, the impact of blogs was more significant than that of online news.

• Journal of the Korean Society of Costume
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• v.64 no.4
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• pp.21-36
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• 2014

The purpose of this study is to suggest an effective fashion design process using social network services(SNS) as a method to develop designs. Fashion design process was systemized through literature study. The characteristics of social network, and element and method of network formation were investigated, and then design processes using SNS were suggested through survey study. This was done by applying formation of network and its method in SNS with contents of fashion to stage of process to develop fashion design. The study results are as follows. First, Fashion design process using SNS is composed of 5 stages. Second, SNS types with contents of fashion were classified to five types: blog, community, connection of fashion web service and SNS, fashion SNS, and fashion SNS game. Among them, types where development of fashion design and product distribution was done by formation of network are connected type of fashion web service and SNS, fashion SNS type. Fashion design development can be done by compiling, having contests, and cooperative work. A method that can be used for making assessments and decision is voting and predicting the market. Third, Fashion design process using SNS is composed of the stages such as planning, compiling, analysis, decision, implementation, and formation of network. It was analyzed that by connecting stages of collection and evaluation of information through participation of users, new contents were produced and there was a structure that was cycled continuously.