• Journal of Digital Convergence
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• v.16 no.8
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• pp.161-167
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• 2018

The purpose of this study is to investigate how the advertising campaign is spreading in social networks, and how the advertising model plays an important role in advertisement diffusion. In order to grasp the diffusion patterns of advertising, a text mining and social network analysis were conducted using the beer brand 'Kloud' as a collection keyword. After analyzing the social data for two months since the on-air of 'Good Body' advertisement, which was the first ad that "Sulhyun" appeared in. After the launch of the ad, Kloud has been mainly associated with keywords such as 'yavis & trendy style', 'beer brand', 'beer matching food', 'luxury beer drinking place', 'leisure trend', and 'SNS activity', etc. In addition, "Sul Hyun" also showed that an advertising model contributes to the spread of advertisement on social media in terms of image transition as well as brand's name and unique selling point.

• Journal of the Korea Society for Simulation
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• v.16 no.2
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• pp.55-64
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• 2007

The sensor nodes on the sensor network transmit the reply for the queries of ADV(Advertisement) message from sink node, and the sink node presents the received information to users. To find the relevant sensor nodes, routing algorithms disseminates ADV messages to the whole network. Thus not only the relevant sensor nodes but also the irrelevant ones consume considerable amount of energy. To alleviate such kind of energy consumption, this thesis proposes a new routing algorithm and coins it Directed Messaging. It propagates ADV message only to the limited direction and changes the direction until the requested sensor node is found. In this way, Directed Messaging reduces unnecessary energy consumption and enhance the efficiency of the networks. Performance of the Directed Messaging algorithm is evaluated through simulation and compared with Directed Diffusion algorithm. Simulation results show that it has better performance than Directed Diffusion.

• Journal of the Korean Geographical Society
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• v.28 no.2
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• pp.123-136
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• 1993

The growth of radidly improving computer and information technology has a profound impact upon economical, social and cultural sectors. With the progress of information technology, information-telecommunication services are produced. This service is used in sending the information to order service-users, and search the need information. This case study considers information-telecommunication service as a consumer-innovation. Information telecommunication services are provided by firms involved in collection. HiTEL(High-Telecommunication) service represents a subset of this group in that the collection, processing and transmission is primarily in an electronic from. The purpose of this paper is concerned with examining the spatial diffusion process, the issues, and behavior to used in HiTEL service one of the information-telecommunication services in Kwangju. HiTEL service is one of the typical information-telecommunication services, and is begun in Seoul and Kwangju area from October 1991, and diffusing several cities and regions now. Diffusion process of HiTEL services in Kwangju showed the irregular pattern in major residential areas, particularly Daewei-dong, Dongun-dong present higher adoption rate than other area, and where functioned as a diffusion center, the social and economic characteristics of residential area have a critical effect on diffusion process. The major adoption areas are recently built residential area, apartment districts, and diffusion direction shows two directions according to development of residental area; one is to south, another is from northeast to southwest. In order to understand the use-behavior of HiTEL service, questionary survey was carried out. Most adopters have a concern to actual life, as HiTEL, information of telephonenumber, and Daewoo Dial-Van compared with other information service. But the actual use-frequency of service is very low. In use of Kwangju regional information service, the use-frequency of operator is very low because of the lack of advertisement, the lack of providing information, and the low-concerns for regional information. But most of adopters need the providing of various regional information as regional news, education, medical and cultural events, housing, city-transportation, and job market. Thus, in order to increase and diffuse the HiTEL service, the establishment of diffusion strategies and the scheme for solution of related issues are very important. The direct diffusion strategies are the diffusion of information-mind, establishment of diffusion and education center, providing of regional information. The scheme for solution of related issues revealed in operating process are reduction of rental fee, development of the related technology and services.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3005-3027
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• 2015

Spam has become one of the top threats of micro-blogging networks as the representations of rumor spreading, advertisement abusing and malware distribution. With the increasing popularity of micro-blogging, the problems will exacerbate. Prior detection tools are either designed for specific types of spams or not robust enough. Spammers may escape easily from being detected by adjusting their behaviors. In this paper, we present a novel model to quantitatively evaluate information diffusion in micro-blogging networks. Under this model, we found that spam posts differ wildly from the non-spam ones. First, the propagations of non-spam posts mostly result from their followers, but those of spam posts are mainly from strangers. Second, the non-spam posts relatively last longer than the spam posts. Besides, the non-spam posts always get their first reposts/comments much sooner than the spam posts. With the features defined in our model, we propose an RBF-based approach to detect spams. Different from the previous works, in which the features are extracted from individual profiles or contents, the diffusion features are not determined by any single user but the crowd. Thus, our method is more robust because any single user's behavior changes will not affect the effectiveness. Besides, although the spams vary in types and forms, they're propagated in the same way, so our method is effective for all types of spams. With the real data crawled from the leading micro-blogging services of China, we are able to evaluate the effectiveness of our model. The experiment results show that our model can achieve high accuracy both in precision and recall.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.9B
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• pp.792-802
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• 2006

In this paper, we propose an energy-efficient proactive data dissemination protocol with relatively low delay to cope well with highly mobile sink environments in sensor networks. In order for a dissemination tree to continuously pursue a dynamic sink, we exploit two novel algorithms: forward sink advertisement and distributed fast recovery. In our protocol, the tree is shared with the other slave sinks so that we call it Dynamic Shared Tree (DST) protocol. DST can conserve considerable amount of energy despite maintaining robust connection from all sources to sinks, since tree maintenance of DST is accomplished by just distributed local exchanges. In addition, since the DST is a kindof sink-oriented tree, each source on the DST disseminates data with lower delay along the tree and it also facilitates in-network processing. Through simulations, it is shown that the presented DST is considerably energy-efficient, robust protocol with low delay compared to Directed Diffusion, TTDD, and SEAD, in highly mobile sink environment.

• Culinary science and hospitality research
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• v.23 no.8
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• pp.173-183
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• 2017

The purpose of this study is to investigate the causal relationship between new brand awareness and new brand awareness according to type of restaurant menu purchase information. This study will provide basic research data on viral marketing strategy through online marketing of restaurant companies. The purpose of this study is to investigate the effect of information obtained through blog information and SNS advertisement on word effect (information acceptance and information transfer) and to investigate the effect of word of mouth effect on consumers' purchase intention. A total of 206 samples were used for this analysis and regression analysis was performed using SPSS 18.0. The results of the study are as follows. First, experience type, timely relevance and consensus among the characteristics of blog information affect information acceptance. Experience, and accuracy are affecting information delivery. Second, information discomfort among the characteristics of SNS advertising information influences the acceptance of information. Information, entertainment and trust are affecting information dissemination. Third, information acceptance and information diffusion affect purchase intention.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.154-163
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• 2009

A new advertising, unlike traditional advertising, has a unique characteristics as a consumer's life styles are changed. This study explores consumer attitude affected by personal value disposition of each advertising creative appeal types. Personal value disposition implies directions of creative and determines advertising effect. So, personal value disposition deserves special consideration of not only print media, but broadcast media and internet media. In the present study, Research has been performed for a diffusion analysis based upon a survey of 338 individuals who were selected randomly. Test advertisement of MP3 Player has been used because involvement of products takes a neutral attitude comparatively. Result from the experiment show that, individualism-rational appeal is the most effective for consumers attitude. Groupism-rational appeals affects consumer's attitude, either. Groupism-emotional appeal has a partial effect and individualism-emotional appeal has no statistical significance. This experiment can be a foundation stone of personal value disposition studies.

• Knowledge Management Research
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• v.17 no.3
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• pp.93-116
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• 2016

Knowledge, as a source of firm's competitive edges, has been drawing attention, while numerous enterprises are investing huge amount of assets to foster the right environments for executing knowledge management (KM). As a practical way of such KM, knowledge management systems (KMS) support the creation, diffusion, and utilization of knowledge, which are the tools for practicing such management style. Recently, the customer centers which make the closest contact with the customers are being concerned about the establishment of KMS. Considering the characteristics of real-time problem solving in customer centers during the consultation with the customers, the importance of KMS is paramount to the centers. This study analyzes major factors influencing the success and utilization of the customer center KMS's reestablishment, as an exploratory case study of the reestablishment of KMS in the customer center of K insurance company. First, the characteristic differences between the customer center's KMS and the traditional KMS are discussed, and the triangulation technique is applied to secure objectivity of this case study's findings. Major results of the case study state that, for the success of KMS and improvement of utilization, the followings should be considered preferentially: excellent system quality (accessibility, user convenience, easy searching, speed/menus); high information quality (accuracy, usefulness, timeliness, task-relevance, diversity, degree of specification); appropriate operation strategy and process for the utilization of system (education, training opportunity, appropriate personnel, speed and procedure of approval, compensation/evaluation); and change management via the support from the CEO's level (concern and participation of CEO, will to propel the project, investment, advertisement, etc.). This study provides practical suggestions with respect to factors which should be more carefully dealt with, since still many customer centers have hard time establishing and operating KMS due to lack of previous studies.

• Information Systems Review
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• v.9 no.1
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• pp.67-84
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• 2007

In diffusing an information systems(IS), the provider of the IS can be more effective if they can identify user groups who can adopt the system early. By focusing on the user groups, system providers can encourage them to adopt the IS. After the early adopters adopt an IS, the diffusion of the system to other groups can be easier by early adopters' voluntary advertisement and help in adopting the IS. Instead of discrete choice methods which are usually used for this purpose, we suggest a decision tree method. Compared to discrete choice methods, this method is more accurate for prediction and can easily identify non-linear segments of groups. By testing the data of adopters of an IS in agricultural business, we show the excellence of this method in identifying target groups to focus on. This method would help system providers to diffuse their systems by starting from early adopters.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.4
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• pp.326-331
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• 2010

This paper has proposed and experimentally demonstrated a new BLU using an LED and an acryl, which is specially focused on the implementation about the guiding effect of an acryl luminous by the LED. While the conventional BLU using a fluorescent lamp is generally and widely used, it shows big power consumption with a short life even more too thick to hold on the wall. To solve such demerits, we propose a new method for a BLU using an LED and an acryl in this paper. This BLU system has various scratches on the surface of acryl to get diffusion effect of light, and has been included an embedded board that can dynamically control the colors and the intensity of the BLU through the Internet. We have conducted computer simulations to find out the optimal scratch pattern on the surface of the acryl for the backlight system. Based on the resulted out simulation. The the optimal scratch pattern signs has been developed. The simulation result shows 2,673Lux an average for a luminous intensity test, and the other hand, experiential result shows 2,554Lux. From the experiments, it is possible for the proposed BLU system to be used for real advertisements.