• Journal of Internet Computing and Services
• /
• v.13 no.6
• /
• pp.9-16
• /
• 2012

Social Network Service (SNS) such as Twitter and Facebook has explosively grown nationwide since iPhone was introduced to Korea in 2009. In addition, KakaoStory has recently opened and joined to the SNS market, and it has grown to one of the most popular SNS in the domestic market in a short period of time. Social Network Service supports not only the formation of relationship between SNS users in common interests but also various activities such as management of personal connections and the sharing of information or contents. These three types of SNS have several common functions of sharing and distributing various contents rooted on the personal relationship formed through SNS. As each SNS user has specific reasons for the use of each service, a survey was conducted targeting those who use all of Twitter, Facebook, and KakaoStory was drawn by the statistical analyses of survey answers on users' reasons for each service. This result of study suggests factors to consider in order to exploit a new SNS or to enhance an existing service and can be used as a standard of which SNS for users to select for their own different purposes. It will also provide the basic data for the trust formation, one of the ethics in the upcoming Social Era.

• Journal of the HCI Society of Korea
• /
• v.1 no.1
• /
• pp.73-80
• /
• 2006

Mitologia is about visualizing relations of information in user-oriented method. Most information given in life has invisible relations with each other. By analyzing the common characters and relations of information, we can not only measure the importance of the information but also grasp the overall properties of the information. Especially human relations are the major concerns of social network having several visualization methodologies shown by analyzing relations of each individual in society. We applied social network theory to grasp relationships between characters in Greek mythology representing a limited society. But the current tools of social network analysis have limits that they show the information one-sided way because of the ignorance of user-oriented design. Mitologia attempts to suggest the visual structure model more effective and easy to understand in analyzing data. We extracted connections among myth characters by evaluating classes, frequencies of appearance and emotional links they have. And we raised the understanding of users with furnishing the proper interaction to the information. The initial interface offers 4 kinds of indexes helping to access character nodes easily, while zoom-in function can be used for the detailed relations. The Zoom-in is quite different from usual filtering methods. It makes the irrelative information invisible so that users can find out the characters' relation more easily and quickly. This project suggests the layout to show overall information relationships and the appropriate interactions to present detailed information at the same time.

• Journal of Intelligence and Information Systems
• /
• v.16 no.4
• /
• pp.159-172
• /
• 2010

The recommender system is one of the possible solutions to assist customers in finding the items they would like to purchase. To date, a variety of recommendation techniques have been developed. One of the most successful recommendation techniques is Collaborative Filtering (CF) that has been used in a number of different applications such as recommending Web pages, movies, music, articles and products. CF identifies customers whose tastes are similar to those of a given customer, and recommends items those customers have liked in the past. Numerous CF algorithms have been developed to increase the performance of recommender systems. Broadly, there are memory-based CF algorithms, model-based CF algorithms, and hybrid CF algorithms which combine CF with content-based techniques or other recommender systems. While many researchers have focused their efforts in improving CF performance, the theoretical justification of CF algorithms is lacking. That is, we do not know many things about how CF is done. Furthermore, the relative performances of CF algorithms are known to be domain and data dependent. It is very time-consuming and expensive to implement and launce a CF recommender system, and also the system unsuited for the given domain provides customers with poor quality recommendations that make them easily annoyed. Therefore, predicting the performances of CF algorithms in advance is practically important and needed. In this study, we propose an efficient approach to predict the performance of CF. Social Network Analysis (SNA) and Artificial Neural Network (ANN) are applied to develop our prediction model. CF can be modeled as a social network in which customers are nodes and purchase relationships between customers are links. SNA facilitates an exploration of the topological properties of the network structure that are implicit in data for CF recommendations. An ANN model is developed through an analysis of network topology, such as network density, inclusiveness, clustering coefficient, network centralization, and Krackhardt's efficiency. While network density, expressed as a proportion of the maximum possible number of links, captures the density of the whole network, the clustering coefficient captures the degree to which the overall network contains localized pockets of dense connectivity. Inclusiveness refers to the number of nodes which are included within the various connected parts of the social network. Centralization reflects the extent to which connections are concentrated in a small number of nodes rather than distributed equally among all nodes. Krackhardt's efficiency characterizes how dense the social network is beyond that barely needed to keep the social group even indirectly connected to one another. We use these social network measures as input variables of the ANN model. As an output variable, we use the recommendation accuracy measured by F1-measure. In order to evaluate the effectiveness of the ANN model, sales transaction data from H department store, one of the well-known department stores in Korea, was used. Total 396 experimental samples were gathered, and we used 40%, 40%, and 20% of them, for training, test, and validation, respectively. The 5-fold cross validation was also conducted to enhance the reliability of our experiments. The input variable measuring process consists of following three steps; analysis of customer similarities, construction of a social network, and analysis of social network patterns. We used Net Miner 3 and UCINET 6.0 for SNA, and Clementine 11.1 for ANN modeling. The experiments reported that the ANN model has 92.61% estimated accuracy and 0.0049 RMSE. Thus, we can know that our prediction model helps decide whether CF is useful for a given application with certain data characteristics.

• Journal of Intelligence and Information Systems
• /
• v.17 no.4
• /
• pp.305-316
• /
• 2011

Recommender system is the system which, by using automated information filtering technology, recommends products or services to the customers who are likely to be interested in. Those systems are widely used in many different Web retailers such as Amazon.com, Netfix.com, and CDNow.com. Various recommender systems have been developed. Among them, Collaborative Filtering (CF) has been known as the most successful and commonly used approach. CF identifies customers whose tastes are similar to those of a given customer, and recommends items those customers have liked in the past. Numerous CF algorithms have been developed to increase the performance of recommender systems. However, the relative performances of CF algorithms are known to be domain and data dependent. It is very time-consuming and expensive to implement and launce a CF recommender system, and also the system unsuited for the given domain provides customers with poor quality recommendations that make them easily annoyed. Therefore, predicting in advance whether the performance of CF recommender system is acceptable or not is practically important and needed. In this study, we propose a decision making guideline which helps decide whether CF is adoptable for a given application with certain transaction data characteristics. Several previous studies reported that sparsity, gray sheep, cold-start, coverage, and serendipity could affect the performance of CF, but the theoretical and empirical justification of such factors is lacking. Recently there are many studies paying attention to Social Network Analysis (SNA) as a method to analyze social relationships among people. SNA is a method to measure and visualize the linkage structure and status focusing on interaction among objects within communication group. CF analyzes the similarity among previous ratings or purchases of each customer, finds the relationships among the customers who have similarities, and then uses the relationships for recommendations. Thus CF can be modeled as a social network in which customers are nodes and purchase relationships between customers are links. Under the assumption that SNA could facilitate an exploration of the topological properties of the network structure that are implicit in transaction data for CF recommendations, we focus on density, clustering coefficient, and centralization which are ones of the most commonly used measures to capture topological properties of the social network structure. While network density, expressed as a proportion of the maximum possible number of links, captures the density of the whole network, the clustering coefficient captures the degree to which the overall network contains localized pockets of dense connectivity. Centralization reflects the extent to which connections are concentrated in a small number of nodes rather than distributed equally among all nodes. We explore how these SNA measures affect the performance of CF performance and how they interact to each other. Our experiments used sales transaction data from H department store, one of the well?known department stores in Korea. Total 396 data set were sampled to construct various types of social networks. The dependant variable measuring process consists of three steps; analysis of customer similarities, construction of a social network, and analysis of social network patterns. We used UCINET 6.0 for SNA. The experiments conducted the 3-way ANOVA which employs three SNA measures as dependant variables, and the recommendation accuracy measured by F1-measure as an independent variable. The experiments report that 1) each of three SNA measures affects the recommendation accuracy, 2) the density's effect to the performance overrides those of clustering coefficient and centralization (i.e., CF adoption is not a good decision if the density is low), and 3) however though the density is low, the performance of CF is comparatively good when the clustering coefficient is low. We expect that these experiment results help firms decide whether CF recommender system is adoptable for their business domain with certain transaction data characteristics.

• Journal of Korea Technology Innovation Society
• /
• v.21 no.1
• /
• pp.201-235
• /
• 2018

With the recent slowdown of R&D budget growth rate, efficient resource allocation, operation and management of national R&D is becoming more important. At this point, recognizing the necessity of systematic and scientific research on the national R&D itself, this study analyzed previous researches on national R&D of Korea. In this study, based on the previous researches and laws, national R&D was classified according to the major stages such as planning, selection, management, performance and so on. Secondly, by using the classification criteria forged, previous researches on the national R&D published in domestic journals for the last 5 years were divided into 12 categories, and the status of researches in each field was analyzed. Lastly, through network analysis, linking status and influence of each fields were identified by using co-classification information of research literatures. As a result of this research, the performance related fields were the most active ones in terms of the number of research literatures, and connections with other fields, while the fields such as selection and infrastructure were lacking in the number of research and linkage. This study can find its meaning in identifying research fields that need more studies and connections with other areas by systematic analysis of previous studies on Korean National R&D.

• The Journal of Art Theory & Practice
• /
• no.9
• /
• pp.171-193
• /
• 2010

This paper examines Fernand Khnopff's Symbolism, focusing on the I Lock My Door upon Myself as a manifesto of his artistic credo in style and theme. Its title was originally in English, originating from the poem "Who Shall Deliver Me?" by Dante Gabriel Rossetti's sister Christina Rossetti. I use the term "Social Symbolism" which combines a nationalist perspective with traditional French Symbolism, in order to explain how the image of Bruges is represented in his oeuvre. Symbolism calls for psychological introspection evoking death, love, silence, and solitude and recluse from realty in pursuit of the Unknown and the Ideal. Although Khnopff shared this idea, he departed from symbolist tradition by incorporating a political milieu in his paintings. First, I discuss Khnopff's early stage in the formation of his artistic concept, including his family background as well as his early opportunity to visit the Exposition Universelle in Paris where he formed his early interests in aesthetics, philosophy, literature, mythology and Egyptian art. His early works, La Painture, la Musique, la Poesie(1880-1881), Le Crise(1881), and En ecoutant Schuman(1883) reveal his favorite subjects which were quite prevalent in the symbolist traditions of both Belgium and France. By looking at Khnopff's paintings, I endeavor to situate his Symbolism in the context of the development of Belgian modernity and cultural nationalism. Second, my analysis of Khnopff creates a new overview of Symbolism in Europe, especially in Belgium. In the absence of socio-political integration, the Symbolist painter adds nostalgic meaning to the landscape of Bruges. The scene of Bruges illuminates the social atmosphere in Belgium at that time. Since Belgium became an independent country, it tried to differentiate its own cultural and national identity from France. There was a powerful social movement for Belgium to claim its own identity, language, and culture. Bruges was, for Symbolists, the epitome of Belgium's past glory. This encouraged the formation of Belgian nationalism centering on Brussels, as I demonstrate in Khnopff's Bruges-la-Morte(1892). The relationship between Symbolist artist and writers is crucial for understanding this development. Khnopff, for instance, illustrated or provided frontispieces for many Symbolist writers such as Rodenbach, Peladan, Spencer and Le Roy. Khnopff did not objectify the exact meaning, but rather provided his own subjective interpretation. In this respect, I Lock My Door, inspired by Rossetti, started from the same motif, but Khnopff seeked escape into silence and death while Rossetti searched for Christian salvation. Finally my paper deals with the social context in which Khnopff worked. He was a founding member of Les XX in 1883 and later La Libre Esthethetique he also participated in the exhibition of le Salon de la Rose + Croix. Les XX was not a particular school of art and did not have a uniform manifesto, but its exhibitions focused on decorative arts by encompassing art for all people via common, everyday objects. The Periodical, L'art moderne was founded to support this ideal by Edmond Picard and Maux. Les XX declared art as independent art, detached from all official connections. Khnopff designed the 1890 catalogue cover of Les XX and the 1891 cover. These designs show decorative element of Art Nouveau in an early example of "modern poster." Les XX pursued all art including graphic arts, prints, placard, posters and book illustrations and design. These forms of art were l'art social and this movement was formed by the social atmosphere in Belgium in terms of social reforms and strikes by working class. Khnopff designed the book cover for la Maison du Peuple. The artist, however, did not share the ideal egalitarianism of the working class to a certain degree, while he was working in his villa he designed under the ideal motto, "on n'a pas que," he expressed the nihilistic emotions toward society by the theme of interiority such as solitude, silence, narcissism, introspection, and introversion. In the middle of his Symbolism, we find the "cultural nostalgia" or longing that the artist develops in the I Lock My Door upon Myself. Khnopff's longing toward the lost city of "Bruges" form the crux of his "Social Symbolism."

• Journal of the Korean Geographical Society
• /
• v.42 no.5
• /
• pp.710-727
• /
• 2007

This paper suggests an inquiry into the characteristics and implications of urbanscapes produced by Internet cafes, widely called PC Bangs in Korea, and their effects on the motions and boundaries of human bodies as cyborgs which exist in between actual and virtual spaces or between human and machine spaces in PC Bangs. The paper, which is organised into two main sections, first investigates the streetscapes of PC Bangs as electronic architectural spaces and suggests the urban electronic space of PC Bangs in terms of hypertext space. Then, it looks at the effects of PC Bangs on human bodies which exist as human-machine hybrids or cyborgs in PC Bangs. The paradoxical socio-spatial characteristics of PC Bangs as third, liminal or hybrid spaces between actual and virtual spaces or between human and machine spaces can be explained as follows. Firstly, there appear both nomadic and sedentary landscapes in that people in PC Bangs move in virtual spaces on the one hand, and are static in actual spaces on the other hand. Secondly, both open and closed spaces are shaped in that although PC Bangs act as open or public electronic spaces, they involve invisible social boundaries, forming the gendered space of masculinism. Thirdly, the boundaries of the human body are extended and are shrunk at the same time in that while the sensory boundaries of the body in PC Bangs are extended through electronic networks, its social boundaries are shrunk through the imaginary space of solipsism. Thus and finally, PC Bangs can be characterised not only as social spaces entailing embodied and gendered landscapes, but also as non-places involving the cyborg landscapes of human-machine connections.

• Journal of the Korean Society for Library and Information Science
• /
• v.33 no.1
• /
• pp.67-86
• /
• 1999

It needs to be considered that citing is net a static process but a dynamic process which is to produce to reproduce and to distribute knowledge by the interaction between societies surrounding the citer. This study begins by briefly acknowledging that citation is a universal practice in terms of establishing citer's own basis of research on the basis of the relation to previous studies and persuadeing potential citer to cite his/her research product. This study, however, is a preliminary attempt to examine the premise that although citing is a unversal practice. but citer motivations can be influenced by various citation environmental contexts surrounding the citer. This study presented general citation motivations derived from previous studies: (1) substantial motivations - conceptional and methodological citations 2) persuasive motivations - positive, applied, and negative citations, (3) perfunctory motivations - perfunctory and bibliographic citations, and (4) social relation motivations - personal connections and knowledge familiarity citations. In addition, this study identified citation environment factors affecting these citation motivations: (1) citer and documentation factor, (2) social and cultural environment, (3) information environment, and (4) international knowledge system environment. Each citation environment factor presented should be interpreted not as a separate factor, but rather as a close interrelation among these environment factors, Finally, the model of the citation environment factors developed in this study was discussed in the aspects of the relationship between citation motivations and their citation environment factors. This study suggested that further research should be conducted in order to examine these relationships more empirically and citation should be considered as a social product reflecting the interaction between citer and various citation environments.

• Journal of Industrial Convergence
• /
• v.18 no.5
• /
• pp.88-96
• /
• 2020

The rate of admission to facilities for people with developmental disabilities in Korea is very high for other types of disabilities. Therefore, 'community care', which supports life in the community for people with developmental disabilities, is very important compared to other types of disabilities. However, in Korea, families with disabilities are the problem of care and are appealing for the burden of support. This study analyzed practical cases through welfare institutional visits and interviews on support for community independence in Japan. As a result of the study, the transition of people with developmental disabilities to communities in Japan was centered on group home. The private sector is providing support for people with severe disabilities in group home to live in communities, and Sapporo City Hall is conducting private connections to solve the problem of caring for the developmentally disabled elderly parents. Accordingly, as Korean policy recommendations, it is proposed to expand group home, switch functions of living facilities for the disabled, cope with the problem of caring for the disabled by elderly parents, and provide preventive services through surveys on the actual condition of adults living alone. As practical suggestions, it is necessary to develop and distribute educational textbooks such as pictures to improve daily life skills for self-reliance, expand sufficient manpower and facilities in vocational training for self-reliance, and operate shelters for adults with developmental disabilities and their guardians.

• Korean Journal of Culture and Social Issue
• /
• v.23 no.4
• /
• pp.451-473
• /
• 2017

This study explores the aftermath of state violence and the meaning of its healing by analyzing testimony therapy designed to deal with trauma of the victims of May 18 democratization movement("May 18"). In order to have a point of view that May 18 had catastrophic impacts on many individuals and communities and to observe the after-effects of such event to individuals' lives, this study analyzed the contents of testimony therapy sessions of four people who were tortured, arrested and detained after their participating in May 18 in 1980. The experiences of those participants with their testimony therapy and the interactions they had with the audience during the sessions made sure what are the key factors to healing the trauma from state violence. Nineteen topics were drawn from analyzing the statements made in the therapy process, and out of them, seven subjects below were chosen as the most significant; 'repetitive pain', 'social and economic damage', 'isolation and disconnection', 'transition of suffering to other generations', and 'Safety', 'healing through connections', 'obligation as a survivor'. Based on its findings, this study also examined the characteristics of trauma caused by state violence and made suggestions for healing such trauma.