• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.10
• /
• pp.447-454
• /
• 2015

This paper proposes geographical name denoising by machine learning of event detection based on twitter. Recently, the increasing number of smart phone users are leading the growing user of SNS. Especially, the functions of short message (less than 140 words) and follow service make twitter has the power of conveying and diffusing the information more quickly. These characteristics and mobile optimised feature make twitter has fast information conveying speed, which can play a role of conveying disasters or events. Related research used the individuals of twitter user as the sensor of event detection to detect events that occur in reality. This research employed geographical name as the keyword by using the characteristic that an event occurs in a specific place. However, it ignored the denoising of relationship between geographical name and homograph, it became an important factor to lower the accuracy of event detection. In this paper, we used removing and forecasting, these two method to applied denoising technique. First after processing the filtering step by using noise related database building, we have determined the existence of geographical name by using the Naive Bayesian classification. Finally by using the experimental data, we earned the probability value of machine learning. On the basis of forecast technique which is proposed in this paper, the reliability of the need for denoising technique has turned out to be 89.6%.

• Journal of Venture Innovation
• /
• v.5 no.4
• /
• pp.75-90
• /
• 2022

This study was conducted to empirically analyze the relationship between business and digital capabilities of small businesses on business satisfaction. To this end, business capabilities were subdivided into industry expertise and customer management expertise. Digital capabilities were subdivided into SNS activity, ease of ICT usability, and business utilization of ICT. At the same time, we examined how the moderating effect of performance of personal media education. A survey was conducted to empirically analyze this, and 200 sample who received personal media education were analyzed. SPSS 24.0 and Macro Process 4.0 were used for statistical analysis. As a result of the empirical analysis of this study, industry expertise, customer management expertise, SNS activity, and business utilization of ICT, all had a positive (+) significant effect on business satisfaction. On the other hand, the significant influence relationship on the ease of ICT usability was not tested. Industry expertise and business utilization of ICT were found to be variables that had a great influence. It was analyzed that personal media education performance plays a moderating role between SNS activity, business utilization of ICT and business satisfaction. The results of this study are meaningful in that they empirically analyze that these capabilities affect business satisfaction even for small businesses at a time when the importance of digital capabilities increases.

• Journal of Intelligence and Information Systems
• /
• v.18 no.4
• /
• pp.117-127
• /
• 2012

Due to the recent expansion of the Web 2.0 -based services, along with the widespread of smartphones, online social network services are being popularized among users. Online social network services are the online community services which enable users to communicate each other, share information and expand human relationships. In the social network services, each relation between users is represented by a graph consisting of nodes and links. As the users of online social network services are increasing rapidly, the SNS are actively utilized in enterprise marketing, analysis of social phenomenon and so on. Social Network Analysis (SNA) is the systematic way to analyze social relationships among the members of the social network using the network theory. In general social network theory consists of nodes and arcs, and it is often depicted in a social network diagram. In a social network diagram, nodes represent individual actors within the network and arcs represent relationships between the nodes. With SNA, we can measure relationships among the people such as degree of intimacy, intensity of connection and classification of the groups. Ever since Social Networking Services (SNS) have drawn increasing attention from millions of users, numerous researches have made to analyze their user relationships and messages. There are typical representative SNA methods: degree centrality, betweenness centrality and closeness centrality. In the degree of centrality analysis, the shortest path between nodes is not considered. However, it is used as a crucial factor in betweenness centrality, closeness centrality and other SNA methods. In previous researches in SNA, the computation time was not too expensive since the size of social network was small. Unfortunately, most SNA methods require significant time to process relevant data, and it makes difficult to apply the ever increasing SNS data in social network studies. For instance, if the number of nodes in online social network is n, the maximum number of link in social network is n(n-1)/2. It means that it is too expensive to analyze the social network, for example, if the number of nodes is 10,000 the number of links is 49,995,000. Therefore, we propose a heuristic-based method for finding the shortest path among users in the SNS user graph. Through the shortest path finding method, we will show how efficient our proposed approach may be by conducting betweenness centrality analysis and closeness centrality analysis, both of which are widely used in social network studies. Moreover, we devised an enhanced method with addition of best-first-search method and preprocessing step for the reduction of computation time and rapid search of the shortest paths in a huge size of online social network. Best-first-search method finds the shortest path heuristically, which generalizes human experiences. As large number of links is shared by only a few nodes in online social networks, most nods have relatively few connections. As a result, a node with multiple connections functions as a hub node. When searching for a particular node, looking for users with numerous links instead of searching all users indiscriminately has a better chance of finding the desired node more quickly. In this paper, we employ the degree of user node vn as heuristic evaluation function in a graph G = (N, E), where N is a set of vertices, and E is a set of links between two different nodes. As the heuristic evaluation function is used, the worst case could happen when the target node is situated in the bottom of skewed tree. In order to remove such a target node, the preprocessing step is conducted. Next, we find the shortest path between two nodes in social network efficiently and then analyze the social network. For the verification of the proposed method, we crawled 160,000 people from online and then constructed social network. Then we compared with previous methods, which are best-first-search and breath-first-search, in time for searching and analyzing. The suggested method takes 240 seconds to search nodes where breath-first-search based method takes 1,781 seconds (7.4 times faster). Moreover, for social network analysis, the suggested method is 6.8 times and 1.8 times faster than betweenness centrality analysis and closeness centrality analysis, respectively. The proposed method in this paper shows the possibility to analyze a large size of social network with the better performance in time. As a result, our method would improve the efficiency of social network analysis, making it particularly useful in studying social trends or phenomena.

• Information Systems Review
• /
• v.17 no.2
• /
• pp.193-218
• /
• 2015

The purpose of this study is to investigate the effects of closed-type SNS use (i.e., Naver Band) on the perception and behavior of the Korean Army soldiers. In contrast to open-type SNS (e.g., Facebook or Twitter), Naver Band is an online communication service system mostly based on confined offline social network. Therefore, it increases communication between acquaintances who have previously formed relationships. Although the Korean Army recently began to use Naver Band as a method of communication between soldiers, their parents/acquaintance, and Army commanders (or leaders), little research has been done about how this use directly affects army soldiers. Hence, applying the motivation opportunity ability theory of behavior, this study examines how enjoyment (Motivational factor), social ties (Opportunity factor), and social intelligence (Ability factor) affect soldiers' belongingness to their organization and organizational citizenship behavior (OCB). We also hypothesize that army soldiers' belongingness and OCB may enhance their individual performance. Survey results show that enjoyment, social ties, and social intelligence increase army soldiers' belongingness, which leads to OCB. Also, enhanced OCB increases individual performance. However, the effect of enjoyment and social ties on soldiers' OCB is non-significant and soldiers' belongingness does not have influence on individual performance. Theoretical and practical implications are presented.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.2
• /
• pp.177-186
• /
• 2019

The purpose of this study was to investigate the influences of the smartphone overuse on health and academic impairment in adolescents. This study used data from Korea youth risk behavior web-based survey of 2017. This survey was conducted on 64,991 adolescents(middle and high school students), and 62,276 (95.8%) responded. The researchers used frequency analysis, independent t test, chi-square test and Pearson correlation analysis using SPSS 22. As a result, the usage rate of adolescents's smartphone was 54,603 out of 62,276, which was 87.7%. The purpose of smartphone usage was messenger(1st rank, 27.3%), SNS(2nd rank, 18.7%) and game(3rd rank, 13.3%). The average daily use time of the smartphone was 206.68±194.73 minutes. Girl students showed significantly more use time of smartphones than boy students(p<.001). Students with more than 206 minutes of smartphone use had worse health and academic performance than students with less than 206 minutes(p<.001). Time of smart phone usage and academic ability showed a weak correlation(p<.001, r=.245). The present findings showed that the higher the smartphone usage, the lower the health level and academic ability, and the author discussed these results.

• Spatial Information Research
• /
• v.22 no.4
• /
• pp.67-76
• /
• 2014

Recently, through the development of IT and mobile technology, spatial information plays a role of infrastructure of the people life and the national economy. Many kinds of applications including SNS and social commerce is to leverage the spatial information for their services. In the case of domestic, spatial open platform that can provide national spatial data infrastructure services in a stable manner has been released. And many people have been interested to the open platform services. However, the open platform currently has many difficulties to analyze its service status and load in real time, because it does not hold a real-time monitoring system. Therefore, we propose a method that can analyze the real-time service status of the open platform using the analysis of the web server log information. In particular, we propose the results of the analysis as follows: amount of data transferred, network bandwidth, number of visitors, hit count, contents usage, and connection path. We think the results presented in this study is insufficient to understand the perfect service status of the open platform. However, it is expected to be utilized as the basic data for understanding of the service status and for system expansion of the open platform, every year.

• Review of KIISC
• /
• v.23 no.2
• /
• pp.7-13
• /
• 2013

전 세계적으로 스마트폰의 시장 점유율은 지속적으로 증가하고 있다. 국내도 해당 기기의 사용 편의성과 이를 이용할 수 있는 다양한 앱과 서비스의 출시로 개인 사용자와 기업, 그리고 정부를 포함한 공공기관에서 스마트폰 사용이 크게 늘어나고 있다. 스마트폰의 이용실태를 살펴보면 개인의 경우 인터넷 게임, SNS, 금융 서비스를 중심으로 이용하고 있으며, 기업, 정부와 공공기관도 업무 효율화에 적극적으로 활용하고 있다. 이와 같은 개인화된 기기인 스마트폰을 이용한 사용자의 이용확대와 다양한 서비스의 증가로 인해 사용자의 공인인증서와 같은 민감한 개인 정보를 포함해서 기업, 공공기관의 정보 자산이 해당 기기에 저장 되고 있는데, 개인 정보와 가치 있는 정보를 악의적인 방법을 이용해서 유출 및 수집 하여 불법적인 이득을 얻으려는 보안 위협 및 침해가 꾸준히 증가하고 있다. 이와 같은 보안 위협의 지속적인 증가로부터 스마트폰 환경에서 사용자를 안전하게 보호하기 위한 보안 프로그램이 꾸준히 출시되고 있다. 스마트폰의 경우는 기존의 PC 보다 컴퓨팅 파위가 낮고, 실행 환경이 제약적이기 때문에 성능을 고려한 보안 프로그램의 개발이 필요하다. 이에 본 고에서는 안드로이드 기반의 보안 프로그램을 개발할 때 고려 할 수 있는 성능 향상 방법을 살펴보도록 한다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.40 no.12
• /
• pp.2485-2487
• /
• 2015

Recently, Hashtag is widely used in SNS like Facebook, Twitter and personal blogs. However, the efficiency of tag search system is poor due to the indiscriminate use of hashtags. To enhance the accuracy of tag search system, we proposed a tag search system using the keyword extraction and similarity evaluation. The experimental results show that the proposed system provides the higher accuracy on tag search results.

• Proceedings of the KAIS Fall Conference
• /
• 2012.05a
• /
• pp.304-306
• /
• 2012

최근 들어 온라인 쇼핑몰과 SNS(Social Network Service)가 결합한 새로운 쇼핑방식인 소셜쇼핑(social shopping)과 소셜커머스(social commerce)가 핫이슈가 되었다. 소셜커머스는 이전에 존재하지 않던 수요를 창출해 낼 수 있다는 점에서 공동구매와는 전혀 다른 새로운 상거래방식이다. 소셜커머스는 50% 이상의 가격할인율과 특정 거래조건(품목, 거래가능 시간, 사용기간, 물량 등)의 제약을 통해 관심의 경제(economy of attention)를 극대화한 수익모델이라 할 수 있다. 본 연구에서는 소셜커머스에서 가격할인과 소비자들의 제품에 대한 지각된 위험은 충동구매에 어떤 영향을 미치는지에 대해서 검토하고자 하였다.

• Proceedings of the Korea Contents Association Conference
• /
• 2010.05a
• /
• pp.19-21
• /
• 2010

모바일 산업이 발달하면서 사람들은 개인간의 보다 섬세한 정보교환과 이로 인한 끈끈한 유대관계를 추구하게 되었다. 이러한 요구에 소셜 네트워킹 서비스 들이 단문 메시지 중심으로 활성화 되어 왔고, 스마트폰과 결합하면서 위치 정보를 추가하고자 하는 요구와 필요성이 문제시되고 있다. 그러나, 이러한 위치 정보는 민감한 정보이기 때문에 보안 및 프라이버시 문제가 대두되고 있다. 가족 구성원의 위치 정보를 공용 서버에 저장하는 것은 서비스 사용 활성화를 저해하는 요인이 될 수 있기 때문에, 본 논문에서는 가정내 홈 서버에서 사용할 수 있는 가정용 위치 정보 기반의 SNS 서비스를 제안하며, 사회의 가장 작은 구성 단위인 가정에서 가족 구성원들간의 친목과 유대관계를 증진시킬 수 있는 보다 공익적인 서비스를 제안하고자 한다.