• Survey Research
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• v.10 no.3
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• pp.85-106
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• 2009

This study is an attempt to provide some answers to question about how characteristics and general recognition regarding internet use in Korea and Japan influence fostering and maintaining on-line social network in each of countries. Survey is used to compare Korean internet users and Japanese internet users in terms of characteristics of on-line social network, individual's propensity for internet use, including their recognition on internet. The study's main findings go as follows. First, Korean internet users tend to be more active in using internet than Japanese internet users do, thus having larger on-line social network and more intensive internet use than Japanese internet users do. However, there is a commonality that majority of internet users in both countries use internet to connect them to person with whom they have private relationship but they cannot meet frequently. Second, for Korean internet users, individual's propensity, characteristics, and recognition regarding internet use is not related to how to contact others. To the contrary, for Japanese internet users, how to contact others in on-line setting seems to vary according to whether or not they have relation-oriented internet use and how they recognize the availability of internet. Third, a commonality regarding the size of on-line social network is found between Korea and Japan that the total numbers of people enrolled as network increases if people use internet in order to get information. This confirms previous finding that relationship based on weak tie is instrumental in fostering on-line social relations and likely produces advantage in getting information. Finally, for Japanese internet users, the degree of risk recognized in on-line setting, that is the degree of interpersonal trust, appears to greatly influence overall relationship -building in on-line.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.914-924
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• 2020

In this study we developed artificial network generation model, which can generate on-line social network. The suggested model can represent not only scale-free and small-world properties, but also can produce networks with various values of topological characteristics through controlling two input parameters. For this purpose, two parameter K and P are introduced, K for controlling the strength of preferential attachment and P for controlling clustering coefficient. It is found out on-line social network can be generated with the combinations of K(0~10) and P(0.3~0.5) or K=0 and P=0.9. Under these combinations of P and K small-world and scale-free properties are well represented. Node degree distribution follows power-law. Clustering coefficients are between 0.130 and 0.238, and average shortest path distance between 5.641 and 5.985. It is also found that on-line social network properties are maintained as network node size increases from 5,000 to 10,000.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.4
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• pp.251-265
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• 2013

The emergence of social network services, is changing the foundation of human relationship formation and method of communication of individuals through sharing of free information. Social network service is a service to support or facilitate an on-line extension of off-line network among people by helping them to share personal profile. History of social network services very short. But users of the various layers is increasing rapidly and ripple effect social as a result is very large. The focus of existing research was mainly devoted to motivation of use and acceptance of social network services. Currently the use of SNS was maturing. Thus, in-depth research on the use pattern of SNS users is needed. The purpose of this study is that, for Facebook in social network services, to analyze the changes in the initial stage of use, medium-term, usage patterns at the current time. Results of the study by analyzing the characteristics of the change in the pattern of usage of user of Facebook, it can be used as basic materials for SNS researchers and service provider.

• Korean Institute of Interior Design Journal
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• v.16 no.3 s.62
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• pp.58-65
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• 2007

The residential space of super high-rise buildings, having a form of a huge three-dimensional vertical city, affect the residents psychologically and qualitatively according to the line of flow. Because of these affects, the system of the line of flows is a very important factor. In this study, we recognize the super high-rise apartment's line of flow as a semantic network system based on case studies. And we also understand the mutual relationship by analyzing each space to recognize what effect it does on the residential environment. Furthermore, to bring up a better semantic network system for super high-rise apartment's line of flows is our goal. According to the case studies, the semantic network of the line of flow consists of 3 parts: the functional network, economical network and unit network. The functional network is composed of the 'need' and 'has', while the economical network includes variable walls that can be changed following the user's taste and eccentric positioned living rooms that protect personal privacy. Therefore the economical network started to appear while the personal value changed according to the improvement of the social condition. Finally, the unit network is a network that effects each unit that has ambiguous boundaries due to the appropriate arrangement between transitional spaces. And the unit network is based on the functional network.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1087-1094
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• 2009

As online community was revitalized, the internet became the second space for people's everyday life. People enter into a connection with other on-line members and they maintain and extend their relationships. Such relationships can be analyzed and visualized with social network analysis. The method oftentimes envisions the structural elements of complex social life. The study aims at visualizing the relationships among the Cyworld users and designs an application "Blow Blow Your Pinwheel", the main purpose of this application is visualizing social relationships between ego and '1chons' which is a concept of friendship in Cyworld. Designing such an application, the study focuses on closeness of relationships which we think is composed of 1)proximity 2)similarity, 3)familiarity, and 4)reciprocity. The study used these concepts in measuring the strength of relationship between ego and other 1chons(friends). Specifically, we devised survey questionnaires which asked users to evaluate the importance of the above factors of closeness, and implemented the result in calculating the strength of the relationship between ego and other by giving weights for each factor. These measurements then were applied in visualizing the relationships in the application, we designed. Through the application, we can compare on-line relationships with off-line relationships and attempt for the new approach of Social Networks.

• Journal of Distribution Science
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• v.18 no.3
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• pp.67-76
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• 2020

Purpose: Consumers are affected by the purchase of a large number of opinions or support during the online purchasing process. This can be defined as the term of 'social decisions' on line. This paper seeks to explore the factors of influence on social decisions in on-line environment and to study in depth. Methodology: The purpose of this paper is to empirically examine the impact of factors on online social decisions. To verify the hypothesis of study, This study collected 256 from Seoul City, Gyeonggi Province and Chungcheong Province through Survey. Results: According to the research results, First, eWOM information usefulness have a positive impact on online social decisions, Second, online network connectedness have a positive impact on online social decisions. Third, innovative product have a positive impact on online social decisions. and the lower the category of knowledge, the more inclined it is to make online social decisions. Finally, social decisions have a positive impact on purchasing decisions about product. It is most significant that academic research has advanced consumer behavior in response to recent changes in the consumption environment. It is meaningful that we have studied in depth the changing consumer decision process in online channel environment.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.147-154
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• 2012

I made an analysis on the case of Kakao Talk, which is Korean top mobile instant messaging service, to find the growth potential of Korean Social Network Service in the global market. First, I found that unlike the PC messenger services, Kakao Talk is not only unlimited in mobile IM service provider but also has evolving into a social network service firm. Second, attempts with a variety of social services such as photo-based Kakao Story and Marketing Platform for Mobile Game, Kakao Talk successfully landed as a SNS company. Third, with 'Plus Friends' Service, soon-to-be launched Avatar and App Market Service, Kakao Talk is evolving into social media and social platforms. The big success of Kakao Talk in Korean market is expanding and reproducing into Japanese and Southeast Asian markets through the 'Line' serviced by NHN. Line is applying the proven success stories of Kakao Talk to the Japanese and Southeast Asian markets. It means that Kakao and Line, both are mobile IM services, have raised the possibility of success in the global SNS market although online web-based SNS Cyworld has failed in the global market.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.3
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• pp.1-11
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• 2016

This study investigates whether different SNS with different characteristics have different impacts on participatory social capital in Korea. At least in Korea, SNS are categorized into five types (community, blog, micro-blog, profile-based service and instant message service), and participatory social capital is specified by three types (off-line political participation, on-line political participation, on-line civic engagement). Using Nielsen KoreanClick's web-based survey data, our regression analysis shows that SNS which are more open and focused on information sharing contribute more to participatory social capital.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.153-169
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• 2011

Today using Internet environment is considered absolutely essential for establishing corporate marketing strategy. Companies have promoted their products and services through various ways of on-line marketing activities such as providing gifts and points to customers in exchange for participating in events, which is based on customers' membership data. Since companies can use these membership data to enhance their marketing efforts through various data analysis, appropriate website membership management may play an important role in increasing the effectiveness of on-line marketing campaign. Despite the growing interests in proper membership management, however, there have been difficulties in identifying inappropriate members who can weaken on-line marketing effectiveness. In on-line environment, customers tend to not reveal themselves clearly compared to off-line market. Customers who have malicious intent are able to create duplicate IDs by using others' names illegally or faking login information during joining membership. Since the duplicate members are likely to intercept gifts and points that should be sent to appropriate customers who deserve them, this can result in ineffective marketing efforts. Considering that the number of website members and its related marketing costs are significantly increasing, it is necessary for companies to find efficient ways to screen and exclude unfavorable troublemakers who are duplicate members. With this motivation, this study proposes an approach for managing duplicate membership based on the social network analysis and verifies its effectiveness using membership data gathered from real websites. A social network is a social structure made up of actors called nodes, which are tied by one or more specific types of interdependency. Social networks represent the relationship between the nodes and show the direction and strength of the relationship. Various analytical techniques have been proposed based on the social relationships, such as centrality analysis, structural holes analysis, structural equivalents analysis, and so on. Component analysis, one of the social network analysis techniques, deals with the sub-networks that form meaningful information in the group connection. We propose a method for managing duplicate memberships using component analysis. The procedure is as follows. First step is to identify membership attributes that will be used for analyzing relationship patterns among memberships. Membership attributes include ID, telephone number, address, posting time, IP address, and so on. Second step is to compose social matrices based on the identified membership attributes and aggregate the values of each social matrix into a combined social matrix. The combined social matrix represents how strong pairs of nodes are connected together. When a pair of nodes is strongly connected, we expect that those nodes are likely to be duplicate memberships. The combined social matrix is transformed into a binary matrix with '0' or '1' of cell values using a relationship criterion that determines whether the membership is duplicate or not. Third step is to conduct a component analysis for the combined social matrix in order to identify component nodes and isolated nodes. Fourth, identify the number of real memberships and calculate the reliability of website membership based on the component analysis results. The proposed procedure was applied to three real websites operated by a pharmaceutical company. The empirical results showed that the proposed method was superior to the traditional database approach using simple address comparison. In conclusion, this study is expected to shed some light on how social network analysis can enhance a reliable on-line marketing performance by efficiently and effectively identifying duplicate memberships of websites.

• Knowledge Management Research
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• v.12 no.5
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• pp.59-69
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• 2011

The popularity of the social media has enabled growth of the social network, which has a big impact on culture and arts sector. The impact is based on the fact that news and evaluation of performances are communicated actively through the use of on-line community, and that the advent of social commerce makes more people see better performance at a lower price. Besides, collaboration programs called Social Sourcing are springing up in the arts sector, and there is Crowd Funding for culture & arts which is a desirable form of social funding. In this way social media and social network service (SNS) have huge social influence not only on the performing arts sector but also on the whole culture and arts sector, and are expected to have growing dominance. With SNS - which opened new marketing, publicity and donation system not only for the whole society but also for the culture and arts sector - in mind, this paper handles the topics on understanding of close relationship between SNS and performing arts, and on its current usage, value and endless possibilities. By presenting the practical value and the possibilities, this paper will help in making smooth the communication between stakeholders and audience of performing arts, in making effective the means of performance delivery, and in making enlarged the mutual understanding between performers and audience. This paper will also be the basis of an alternative means, which presents the performing arts sector with possibilities to get out of the chronic deficit.