• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.5-6
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• 2019

빅데이터 분석을 위해 활용되는 데이터로는 뉴스, 블로그, SNS, 논문, 특허 그리고 센서로부터 수집된 데이터 등 매우 다양한 유형의 데이터가 있다. 특히, 신뢰성 있는 데이터를 실시간 제공하는 웹 데이터의 활용이 점차 확산되고 있다. 그리고 빅데이터의 활용이 다양한 분야로 점차 확산되고 웹 데이터가 매년 기하급수적으로 증가하면서, 최근 웹 데이터는 재난대응 미디어로써 매우 중요한 역할을 하고 있다. 또한, 빅데이터 분석에 활용되는 원천 데이터는 네트워크 형태이며, 최근 소셜 네트워크 분석을 통한 효과적인 상품 광고, 핵심 유전자 발굴, 신약 재창출 등 다양한 영역에서 네트워크 분석 기술이 사회와 인류에게 가치 있는 정보를 제공할 수 있는 가능성을 제시하면서 네트워크 분석 기술의 중요성이 부각되고 있다. 본 논문에서는 웹에서 제공하는 뉴스와 SNS 데이터를 이용해 수난 발생 및 규모 예측을 지원하는 웹 크롤러 및 네트워크 분석기술을 제안한다.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.452-464
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• 2018

The purpose of this study is to identify the brand personality factors of SNS based on SNS consumers and to examine the effect of SNS brand personality factors on the recognition of mobile native ads in SNS. As a property of mobile native advertisement, research model is suggested by introducing information, reliability, entertainment, interferences, and interactivity as research variables. And SNS users were surveyed. Through the online survey, 341 copies were used for the analysis. According to the results of the analysis, five characteristics of SNS brand personality factors such as 'sincerity', 'enthusiasm', 'charm', 'practical', and 'community' were derived. Among these, 'sincerity', 'enthusiastic', and 'community' brand attributes have a positive effect on most of mobile native advertising attributes, but 'practical' brand characteristics negatively. The attractiveness of the brand was not related to the mobile native advertisement.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.215-227
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• 2017

The development of information technology are leading to the rapid evolution of SNS (Social Networking Services) in various directions and industries. Initially, SNS have been used as the form of networking between user's groups. Currently SNS has been developed towards multiple purposes and platforms such as the promotion and the advertising of a company. There are many SNSs including QQ, Weibo, and Wechat and so on in China. However, the use of companies in terms of advertising and information sharing with the customers do not meet the trend in China. Especially, there were little researches for Chinese travel agencies how to utilize SNS for attracting new customers and making them contribute to the firm's performance. In this study, we try to investigate the impact of the firm's characteristics and the usage of SNS on the performance of Chinese travel agencies. Based on Top 100 China travel agencies in 2009, we analyzed the relationships between firm's characteristics and the usage of SNS, and firm's performances in 2013. We expect that our study can contribute to the increasing academic and practical needs on the empirical evidence of the impacts of the SNS utilizations on the firm's performance.

• Annual Conference of KIPS
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• 2012.11a
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• pp.507-509
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• 2012

많은 사용자가 직접 글을 작성하고 데이터를 업로드 하는 SNS 서비스의 데이터 분류 및 분석에서 빅 데이터 활용방안이 다양하게 논의되고 있다. 특히 기존에 활용하던 텍스트 기반의 분류에서 이미지, 동영상에 대한 분류가 다양하게 시도되고 있다. 본 논문에서는 위키피디아를 이용한 이미지 태그의 의미정보를 바탕으로 플리커에서 샘플 이미지를 추출하고 이를 활용하여 'bag of visual word' 기법으로 사용자가 업로드한 이미지를 자동 분류하는 방법을 소개한다.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.1-12
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• 2016

Today, with the popularity of smart phones and the proliferation of SNS, anyone is exposed to the risk of personal information leakage. Unlike the prior studies of privacy, this research aims to identify the privacy factors affecting the provision intention of individual information from the SNS Users. This study also analyses how the perceived privacy risks and corporate trust affect the provision intention of individual information. The analysis results of empirical data show that despite experiencing the privacy leakage such as direct hacking and being aware of the risk, people are providing firms with personal information. The most influential variables to perceived privacy risk are information privacy policy, information privacy concern, previous privacy experience and information privacy awareness in the decreasing order of importance. Those to the corporate trust are information privacy policy, information privacy awareness, previous privacy concern and information privacy experience. Besides, the corporate trust and the perceived privacy risk also affect the provision intention of personal information. Finally, this study proposes the implications for personal information privacy.

• Convergence Security Journal
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• v.23 no.4
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• pp.53-59
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• 2023

Various problems are occurring as teachers and student's parents communicate directly through mobile phones. In this study, a service model was proposed that allows teachers and student's parents to communicate through SNS platforms without knowing each other's mobile phone numbers. In the civil complaint communication service model proposed in this study provides, communication key sets are provided as public data, and a commonly used SNS platform uses the relevant relationship information to implement communication. This model also has expandability that can be applied not only to teachers, but also to ① officers who need to communicate with the parents of soldiers, ② nursing, health and nursing care personnel who frequently contact patient caregivers, and ③ welfare officials.

• Journal of The Korean Association of Information Education
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• v.18 no.4
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• pp.633-644
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• 2014

In this research, focusing on the public data access function and the communication function of SNS's, an educational program was implemented for the PC and mobile environments. The program offers functionality to share short messages with friends so that problems can be solved while communicating these messages back and forth. With each visiting page, a method for communication was provided, and each room had a announcements page, Q&A section, discussion forum, and file sharing space to facilitate more communication, and by adding the 'search for friends', and 'recommended friends' functionality, it was possible to study with friends and other unknown people using the program. The applications of the educational program were proposed through the analysis of survey results of elementary and high school students of the program.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.249-255
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• 2014

Recently, creation and sharing of information make progress actively through the SNS(Social Network Service) such as twitter, facebook and so on. It is necessary to extract the knowledge from aggregated information and data mining is one of the knowledge based approach. Especially, emotion analysis is a recent subdiscipline of text classification, which is concerned with massive collective intelligence from an opinion, policy, propensity and sentiment. In this paper, We propose the emotion prediction method, which extracts the significant key words and related key words from SNS paragraph, then predicts the emotion using these extracted emotion features.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1047-1050
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• 2015

Wearable device, along with IoT(Internet of Things), is considered the core of upcoming generation's convergence technology. Companies are intensely competing one another for prior occupation in the smartwatch market. Consumers that use smartwatch express their preferences by sharing their opinions through SNS(Social Networking Service). Through this study, emotions dictionary is built, which consists of attributes and emotional words related to smartwatch. Based on the emotions dictionary, SNS data has been categorized according to the attributes through opinion data model. Afterwards, overall polarity and attribute polarity of collected data are distinguished through natural language parsing, followed by an analysis of smartwatch reviews. This study will contribute to determination of which attributes of smartwatch to be improved, to arise consumer's interest for individual smartwatch.

• Journal of Digital Contents Society
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• v.16 no.2
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• pp.325-334
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• 2015

In this paper, we had tried to study advertising method of local industry in cooperation with SNS (Social Network Service). In particular, This paper analyzes the Facebook Page trying to find a way to take advantage of the local advertising. To analyse the Facebook page, I had created three Facebook pages such as at Hongik UNIV., Gangwon National UNIV., and specialities in Cuncheon cities. While I was managing the three pages, I had analyzed the results of quantities of activities, and in addition, had used NodeXL for the analysis of the network for the each page. After the analysis of the data of each page, I had found the possibility of the promotion for the successful the local advertizement associated with SNS. To verify and develop the results of my study, I had designed the " real time local advertising APP which is connected with SNS like Facebook, had created server program based on PHP, Android APP. In the future, I have found that there must be a lot of possibilities for the successful and various the local advertising methodologies by using SNS like Facebook, the operational data of the App.