• 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.

• Journal of KIISE
• /
• v.45 no.2
• /
• pp.126-133
• /
• 2018

The recommender system (RS) has emerged as a solution to overcome the constraints of excessive information provision and to maximize profit and reputation for information providers. Although the RS can be implemented with various approaches, there is no study on how to appropriately utilize the information generated from the review of the recommended object. We propose a method to improve the performance of RS by using cluster information generated from online review. We implemented the proposed method and experimented with real data, and confirmed that the performance is significantly improved compared to the existing approaches.

• The Korean Journal of Franchise Management
• /
• v.2 no.2
• /
• pp.24-44
• /
• 2011

Many companies are increasingly using social network service(SNS) as an online marketing tool, and its marketing activation has been in the limelight as a differentiation strategy most recently. The purpose of this study is to analyze online marketing cases utilizing SNS and to apply it in Franchise Enterprise in order to activate its marketing activities. This study is more concerned with the cases of facebook, twitter, and blog among social network services and suggests some ways of utilizing them in Franchise Enterprise as follows: Based on the examples of facebook, firstly, we set up the role as a homepage in individul, Franchise Enterprise, and other organizations. Secondly, we also set up the role as an organizing tool in communities, and thirdly, setting up the role as a location map tool. Regarding some applications in marketing tool of Franchise Enterprise, we suggest the role as a public relation tool of the company and brand, and also propose the role of brand planning and development. Finally, we suggest a way of overcoming the limitation in offline operations.

• Journal of Information Technology Applications and Management
• /
• v.23 no.2
• /
• pp.207-224
• /
• 2016

Investments in information and communication technologies (ICT) around the world have grown at an enormous rate over the past two decades, which reflects a new emphasis on consumer mobile devices. A social network service (SNS) is an online service that aims to build social relations among people who share interests and activities. The role of SNS is enormous for communicating ideas and opinions among social participants. The use of SNS has recently become one of the most popular social activities worldwide. This research investigated relation between personal characteristics, social characteristics and user satisfaction on SNS then, analyzed how these factors affecting continuance usage intention on SNS users. The conclusion is summarized as below. The study results show that informativeness, pleasure, innovativeness, relationship and empathy of SNS are having positive impact to some degree on the user satisfaction. Further, the user satisfaction of SNS users and quality of life have a positive impact on the continuance usage intention of SNS users. This results show that various SNS qualities are necessary to actively explore and obtain further information that users intend to find, while they are insufficient in function to provide the information other users require or exchange information with other users through the SNS.

• Journal of the Korean housing association
• /
• v.27 no.6
• /
• pp.113-124
• /
• 2016

The purpose of this study is to analyze characteristics of rental housing management and service preference according to social relationship types. The data for the analysis was collected through questionnaire survey method from 12th, April to 4th, May, 2016 and 565 data were finally used. Data were statistically analyzed using SPSS WIN 18.0. The findings of this study are as follows: 1) the six factors on social relations of subjects are made up as 'interpersonal stress of the relationship', 'new relationship', 'neighbor relations', 'online relationship', 'family relations', and 'friendship'. 2) Along with this result, cluster analysis was carried out, and four social relation types are classified and named as the 'extroverted relationship type', 'passive relationship type', 'active relationship type' and 'introverted relationship type'. 3) Rental housing management and service was examined separately as 'housing management system', 'housing services', and 'community facilities'. Differences in preference were identified by type of social relationship. Housing services and community facilities showed a significant difference in almost all items. In the housing management system, most of the items did not show any significant difference according to social relationship types.

• International Journal of Advanced Culture Technology
• /
• v.12 no.3
• /
• pp.124-139
• /
• 2024

Stress mindset is a perspective on stress that can change stress management and performance in stressful situations. In relation to stress mindset aspects, this study verified the impact of academic stress, future anxiety, and positive mental health as a way to improve the mental health of students with a positive stress mindset through an online social networking platform. Additionally, the effectiveness of resilience was demonstrated as a way to increase the effectiveness of stress mindset. In order to verify hypotheses, this study conducted a survey from 104 university students in Korea. The results indicated that stress mindset was directly related to academic stress. In addition, resilience had a significant moderating effect on the relationship between stress mindset and academic stress. However, since the effect was not found for future anxiety and positive mental health, the need to establish a new strategy was raised. The research has implications in suggesting ways for students to have a positive stress mindset and increase its effectiveness.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.1
• /
• pp.305-315
• /
• 2021

This article aims to explore the contribution of social media value to a company's financial performance in a digital environment economy since the awareness of companies and investors in the use of social media opens up new mechanisms for disseminating information. Quantitative method is used in this study with Multivariate Analysis of Variance as the analysis tool. The data used is secondary data gathered from Indonesia Stock Exchange (IDX) using 308 companies as samples. In the multivariate test, four kinds of multivariate significance tests were carried out, namely Pillai Trace, Wilk Lambda, Hotelling's Trace, and Roy's Largest Root. It was found that social media value has a small contribution in the difference of the level of profitability and the value of the company in Indonesia, but it doesn't have a contribution to the difference of the level of liquidity. The contribution was an implication of online Word of Mouth (WOM) motives which are interrelated with signal theory and as additional information for investors in relation to single-person decision theory. This study provides an insight into the importance of social media management considering that the world of digital economy will continue to develop, so companies in Indonesia need to take advantage of these opportunities.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.3
• /
• pp.65-75
• /
• 2017

This research studies the behavior patterns of a character in FIFA Online3, and the transaction patterns between the characters to present a character that acts like a real person and has social interaction with other characters. A character interacts with others mediated by balls in FIFA Online3, we analysis character's behavior and interactions more cleary. Providing the realistic behavior patterns of a character and the relation in the transaction patterns between the characters based on psychology theory, we can give a player the sense of reality. To define the behavior pattern of a character, this study applied the Ego-state as defined by Transactional Analysis(TA). Based on the Transactions in TA, this study then defined the transaction patterns between the characters, which are produced by the actions that a character in the game. This study also presented how to apply a character's transaction patterns with the examples. It showed that a character can act in the game like a real person by defining how a character acts and interacts in the game.

• Journal of Information Technology Applications and Management
• /
• v.20 no.2
• /
• pp.109-125
• /
• 2013

As the number of SNS users is increasing, it has been very important how companies use SNS strategically. As a result, studies have been performed for the utilization of SNS. Most of the studies, however, focused on the overall characteristics of SNS and did not consider the characteristics of individual SNS. This study classified the main purpose of SNS use as relation-oriented purpose and information-oriented purpose, and identified the types of SNS from two viewpoints : service type and openness. Based on the classification, this study identified the characteristics of Cyworld, Facebook, and Twitter respectively, and analyzed the difference of the purpose of SNS users according to the characteristics of each service. The results showed that more users had the information-oriented purpose in the order of Twitter, Facebook, and Cyworld. There was no difference in the relation-oriented purpose among the three services. The analyses of the motive to join a group or a party made similar results. The results of additional analyses showed that the ratio of users with many acquaintances was high in the order of Facebook, Twitter, and Cyworld. In addition, more users checked their timeline or news feed more frequently in the order of Facebook, Twitter, and Cyworld.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.8
• /
• pp.1717-1724
• /
• 2012

Information of social relationship of users on online is useful information for other services such as recommend information of commercial activity. So, there is a lot of studies analysis with connection to visualization of social network. Most of the previous works of visualization focus on representing user's relationship on social network by a complex multi dimension graph. However, this method is difficult to identify the important of relationship to focus on personal user intuitively. In order to resolve above problem, this paper proposes a new visualization method using the user's correlation and user relationship of network node. The proposed method visualizes the hierarchy relationship of users using the internal relation of network reflecting user's message and external relation of network nodes.