• Journal of Broadcast Engineering
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• v.18 no.1
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• pp.98-105
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• 2013

Patterns for generating and consuming contents are various in these days from conventional broadcasting contents to UCC. There are many researches on developing recommendation engines based on user's profile for providing desired contents. In this paper we propose a contents recommendation system using not only user's profile but other's profiles in closed user group of the social network based on patterns for user's consuming contents. The proposed recommendation agent update user's profile using usage history and other's profiles related to the user in the closed user group.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.139-145
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• 2022

The study aimed to build a proposed program for training Social Studies teachers in the light of electronic functional competencies, the researcher used the experimental method with a quasi-experimental design, the study sample consisted of (37) Social studies teachers in Ismailia. A proposed program in the light of electronic functional competencies. A measure of awareness of the dimensions and components of electronic feasibility. The study concluded several results: There is a statistically significant difference at the level of (a ≤0.01) between the average scores of the teachers of the research group in the pre and post measurements of the measure of awareness of the dimensions and components of electronic functional competencies in favor of the teachers scores in the post-measurement. Training Social studies teachers on the functional electronic competencies necessary for them to keep up with educational developments.

• Korean Journal of Social Welfare
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• v.44
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• pp.288-317
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• 2001

The purpose of this study is to develop the group program model for reinforcing family relations of single-mother families as one approach to family welfare service. As previous research findings about problems of single parent families were reviewed and the framework for the program development was identified, a 6 sessions group program was planned and applied to 9 single-mother families from June 2nd to July 7th. Program evaluation questionnaire, Scales measuring powerlessness and FACESIII for family relations, social support network tool, and group process recording were used for the evaluation of this program. The participants evaluated this program as very supportive, useful, and educational. The powerlessness was reduced in a statistically meaningful way before and after the program and the result was found to be maintained for 4 months in the follow-up session. The family relations according to FACES III were mostly balanced and didn't show some significant change after the termination of this program. The single mothers had little concrete supports from others, if any, had some from relatives. They rather had to give supports for the other family members and reciprocally gave and took emotional or informational supports with friends or neighbors. Based on these results, the 2 step model consisted of brief group program and long term support group was developed and the practical methods were suggested for the single-mother families with low income.

• Management & Information Systems Review
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• v.30 no.3
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• pp.153-167
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• 2011

This study conducts to examine the effect of purchase intention on social shopping by connection density and centrality which is a structural characteristic of social network. Furthermore, this study suggests and analyses the difference of social shopping purchase intention between online community which focuses on a group and SNS(social network service) which focuses on an individual. To examine these reason, this study proposes hypotheses that reflects structural characteristic then analyses them. The result of analysis shows that the purchase intention on social shopping seems to be high when the density of connection is high and the purchase intention seems to be high when the centrality is high as well. Moreover, there is difference in the purchase intention on social shopping between online community and SNS and it is found that both cases where the connection density is high in the online community and the connection centrality is high in SNS have significant impact on the purchase intention. Based on these results, this study provides an implication on the importance on network structure in social network and social shopping and to increase the purchase intention of social shopping, this study suggests the implication on the importance and direction which understands the structure of social network type.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.161-166
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• 2013

The purpose of this research is to analyse the research subject in journal of Korean safety management and sciences. Total 1850 key words in 560 papers were analysed by the Pajek system which is one of well known social network analysis tool. Key words trend from 2008 to 2012 was examined. Then the relationship among each key words was visualized. There were five key words group which strongly connected among key words. The degree centrality, between centrality, proximity prestige on each key words were calculated to verify influence degree to other key words.

• Journal of Information Processing Systems
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• v.15 no.3
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• pp.616-631
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• 2019

With the rapid increase of information on the World Wide Web, finding useful information on the internet has become a major problem. The recommendation system helps users make decisions in complex data areas where the amount of data available is large. There are many methods that have been proposed in the recommender system. Collaborative filtering is a popular method widely used in the recommendation system. However, collaborative filtering methods still have some problems, namely cold-start problem. In this paper, we propose a movie recommendation system by using social network analysis and collaborative filtering to solve this problem associated with collaborative filtering methods. We applied personal propensity of users such as age, gender, and occupation to make relationship matrix between users, and the relationship matrix is applied to cluster user by using community detection based on edge betweenness centrality. Then the recommended system will suggest movies which were previously interested by users in the group to new users. We show shown that the proposed method is a very efficient method using mean absolute error.

• IEMEK Journal of Embedded Systems and Applications
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• v.7 no.4
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• pp.181-186
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• 2012

Obesity is one of the biggest problem in modern society. Smartphone could be a good tool to handle this problem. In this paper, we propose a new smartphone app to recommend diet, to offer a physical practice by motion games. Our Android smartphone application encourages friends to join group fitness programs. It interfaces with social network services and smart-TV.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.2
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• pp.117-139
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• 2013

Due to the recent development of SNS(Social Network Service) which is represented by Twitter and Facebook, social commerce market which combines on-line shopping mall and SNS is expanding. With increasing speed of its market, this study is to focus on detecting the crucial variables promoting the use intention, which results in the sustainable competitive advantage in social commerce market. This research empirically analyzed the use intention of social commerce. Also, this study explores the moderating effects of gender in explaining intention to use social commerce. A technology acceptance model is applied for pinpointing the antecedents of intention to use social commerce and for revealing cross-gender differences. The results from a survey of 452 participants reveal that the effects of perceived risk, perceived usefulness, ease for use and subjective norm on intentions to use social commerce differ across gender. Findings imply that the risk-free quality and portrayal of in-group or out-group situations of social commerce need to be communicated to female consumers, along with the social norms of using social commerce. When targeting male consumers, the technological features illustrating the usefulness of social commerce should be focused. This study will provide diverse implications companies providing social commerce services.

• The Mathematical Education
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• v.52 no.4
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• pp.483-496
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• 2013

In this study, we investigated the structure of the mathematics education scholars' co-authorship relationship in papers registered at the National Research Foundation of Korea by social network analysis. The data were 354 scholars from 257 papers in 4 journals from 2009 to 2013 based on 'the 2009 revised Korean National Curriculum'. For the analysis, Pajek3 and UCINET6.3 were used. The results of this study were as follows: First, each of the mathematics education scholars is connected on average with about 5 paths of intermediate collaborators. Second, Analyses of the first component group found distinguishable scholar groups' characteristics depending on their affiliations, majors, and job statuses. Third, there were scholars having high values in network degree centrality measures despite not having high numbers in published papers. On the contrary, there sere scholars having high numbers in published papers despite not having high values in network analysis. Finally, I suggested the directions for the future research with the limitations of this study.

• Perspectives in Nursing Science
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• v.13 no.1
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• pp.29-35
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• 2016

Purpose: This study aimed to explore the underlying structures of students' interaction networks to monitor network changes during the year, to verify the relationship with self-directed learning, and to identify the effect of problem-based learning on interaction and self-directed learning. Methods: A longitudinal study was designed which included 3 parts (A=25, B=27, C=26) with a total of 78 second-year nursing students from 2013 to 2014. Interaction indicators used group network centralization and density, and individual in-degree centrality. Results: Group network centralization showed mean reversion patterns, however, centralization and density showed a slight increase from 2013 to 2014 (Centralization of A part from 52.78 to 36.96, B part from 20.56 to 32.20, C part from 34.40 to 37.24; Density of A part from 0.122 to 0.123, B part from 0.111 to 0.121, C part from 0.109 to 0.121). The individual in-degree centrality is significantly correlated with self-directed learning and the correlation coefficient increased during the year (r=.274 in 2013, r=.356 in 2014, p<.001). Conclusion: Students share information more interactively during the year and the more they share the higher the scores of self-directed learning.