• Journal of Information Processing Systems
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• v.13 no.4
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• pp.987-999
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• 2017

Extraction of influential people from their respective domains has attained the attention of scholastic community during current epoch. This study introduces an innovative interaction strength metric for retrieval of the most influential users in the online social network. The interactive strength is measured by three factors, namely re-tweet strength, commencing intensity and mentioning density. In this article, we design a novel algorithm called IPRank that considers the communications from perspectives of followers and followees in order to mine and rank the most influential people based on proposed interaction strength metric. We conducted extensive experiments to evaluate the strength and rank of each user in the micro-blog network. The comparative analysis validates that IPRank discovered high ranked people in terms of interaction strength. While the prior algorithm placed some low influenced people at high rank. The proposed model uncovers influential people due to inclusion of a novel interaction strength metric that improves results significantly in contrast with prior algorithm.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.225-232
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• 2021

Nowadays, opinion leaders influence the formation of public opinion on various issues in social network services. There has been a lack of research on the personal characteristics that inspire users to interact with opinion leaders and show intent to act. This paper verifies how the disposition of Facebook users' self-identity affects the quasi-social interaction with opinion leaders on Facebook and the intention to share information. As the perception and behavior of users on social media platforms differ depending on the type of issue, an online survey was conducted by classifying issue types into life culture and political sectors. Research found that personal identity had a significant positive effect on quasi-social interactions in the life culture and politics sectors, while group identity negatively affected quasi-social interactions. In addition, the intention to share information was confirmed to have a significant effect only in the life and culture areas of self-identity (social and group identity). Quasi-social interaction was confirmed to have a significant positive effect on all issue areas. The results of this study suggest the need to consider variations in opinion leader marketing strategies based on the types of self-identity of Facebook users in the future. In addition, the study shows that raising the level of quasi-social interaction at the corporate level without distinction of issue types can lead to effective results.

• Journal of the Korean Physical Society
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• v.73 no.10
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• pp.1406-1409
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• 2018

We have frequently encountered the rapid changes that prevalent opinion of the social community is toppled by a new and opposite opinion against the pre-exiting one. To understand this interesting process, mean-field model with infinite-interaction range has been mostly considered in previous studies S. A. Marvel et al., Phys. Rev. Lett. 110, 118702 (2012). However, the mean-field interaction range is lack of reality in the sense that any individual cannot interact with all of the others in the community. Based on it, in the present work, we consider a simple model of opinion consensus so-called basic model on the low-dimensional lattices (d = 1, 2) with finite interaction range. The model consists of four types of subpopulations with different opinions: A, B, AB, and the zealot of A denoted by $A_c$, following the basic model shown in the work by S. A. Marvel et al.. Comparing with their work, we consider the finite range of the interaction, and particularly reconstruct the lattice structure by adding new links when the two individuals have the distance < ${\sigma}$. We explore how the interaction range ${\sigma}$ affects the opinion consensus process on the reconstructed lattice structure. We find that the critical fraction of population for $A_c$ required for the opinion consensus on A shows different behaviors in the small and large interaction ranges. Especially, the critical fraction for $A_c$ increases with the size of ${\sigma}$ in the region of small interaction range, which is counter-intuitive: When the interaction range is increased, not only the number of nodes affected by $A_c$ but also that affected by B grows, which is believed to cause the increasing behavior of the critical fraction for $A_c$. We also present the difference of dynamic process to the opinion consensus between the regions of small and large interaction ranges.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.9
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• pp.647-658
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• 2018

Modern society is complex and rapidly changing, and knowledge sharing is needed to acquire and create knowledge. Knowledge sharing is the act of providing information knowledge and know-how of their own in order to cooperate with or help their colleagues. This study presents a research model using social capital theory to explain the mobile knowledge sharing behavior of virtual community members. Based on previous studies, social capital theory is divided into structural, relational, and cognitive aspects. It was composed of social interaction ties as a measure of structural aspect, trust as a measure of cognitive aspect, shared language, shared vision and relational aspect. After collecting survey data, factor analysis and regression analysis were performed using SPSS 22. In this way, we examined how the detailed factors of social capital affect information sharing behavior and how the level of knowledge sharing affects community promotion. The results showed that social interaction ties, shared language, shared vision, and trust affect knowledge sharing. Knowledge sharing has had a positive impact on community promotion.

• Journal of Korea Game Society
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• v.11 no.4
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• pp.37-48
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• 2011

As people increasingly play online games, numerous new features have been proposed to increase players' log-on time at online gaming sites. However, few studies have investigated why people continue to play certain online games. This research would verify that enjoyment experience could be explained by the conceptual framework. In the first, this study results indicate that customers would show a higher level of loyalty if they had an optimal experience with the games. The state of flow was felt when players were aware of opportunities for personal interaction and social interaction. The personal interaction could be motivated either to achieve the high cognitive performance or by providing the equity of distribution of the objective performance in order to examine players' cognitive performance; the social interaction can be motivated either to enhance a high level of self-esteem of player or to achieve the positive reputation in order to evaluate their self-esteem. This finding can answer the questions of what enjoyment experience is and why players are repeatedly playing specific online games.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.270-281
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• 2021

The emergence of social media and technical development of smart phone allows media users to produce, share and spread a variety of contents, which results in a big change in their media usage pattern. Among those changes, the most prominent one is Youtube's powerful growth. Creators' enthusiastic content productions and users' active sharing actions are caused of the growth. Recently, creators give a powerful effect on users as social media influencer, and the practice of influencer marketing has been focused. This current study is examined the effects of parasocial interaction and relationship on brand attitude and purchase intention. Specially, parasical interaction is divided into identification, interest, and experience parasocial interaction, and the divisions of relationship are trustworthy, friendship, understanding, and commitment. As a result, interest and trustworthy are significant predictors of brand attitude. Also, experience parasocial interaction is negative and friendship is positive predictors of purchase intention. Theoretical and practical implication are discussed.

• Korean Journal of Child Studies
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• v.15 no.2
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• pp.141-152
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• 1994

The purpose of this study was to investigate the goal and strategy differences in the Social Problem Solving (SPS) according to ages and interaction targets of children. The subjects were 48 children between the ages of 3, 4 and 5 years. Their SPS behavior was observed as it occurred naturally in free play interactions. The data were analysed by one-way ANOVA, Duncan's multiple range, repeated measures, and t-test. The results showed that there were significant goal and strategy differences in SPS behavior according to age and interaction targets of children.

• Educational Technology International
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• v.12 no.2
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• pp.95-116
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• 2011

This study examines effects of Facebook on language learning in terms of facilitating interaction and collaboration by applying Facebook in a Korean language class. Forty one exchange students from seventeen countries who participated in the study used Facebook to exchange information and complete group projects. Results show that Facebook was effective in sharing class materials, engaging in class community and collaborating to complete assignments. Students also comment that socializing with peers was helpful, yet more activities and discussion to draw active participation is needed. This study also points out the important role of instructors who implement social media and manage the class.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.373-381
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• 2013

This paper reviewed the mediating effects of knowledge sharing between social capital(interaction, trust, shared vision) and innovation(radical innovation, incremental innovation) in small businesses. Based on the responses from 337 responses, the results of mediating effect analysis and path analysis showed that interaction and shared vision effect positively on radical innovation and incremental innovation via knowledge sharing or directly, but trust effects positively only on incremental innovation. Social capital and knowledge sharing have more effects on incremental innovation than on radical innovation.

• Journal of the Korean Home Economics Association
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• v.44 no.12
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• pp.43-52
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• 2006

The purpose of this study was to investigate the relationships between mother's management behaviors of their children's peer interaction, their beliefs about social skills, recollections of childhood peer relationships, and interpersonal competence. Subjects consisted of 258 mothers of 4- to 5-year-old children. The sample of mothers completed a series of questionnaires assessing their beliefs of social skills, their peer experiences, and the involvement activities of their children's peer relationships. The results indicated that the beliefs about social skills, recollections of childhood peer relationships, and interpersonal competence were associated with the mother's management behaviors. Maternal memories of childhood peer relationships were the best predictor of mother's management behaviors of their children's peer interaction.