• Journal of Service Research and Studies
• /
• v.6 no.4
• /
• pp.15-34
• /
• 2016

The purpose of this study is to examine the effects of social entrepreneurship on organizational performance and to identify network moderating effects on social entrepreneurship and organizational performance. Data collected from 189 employees working in social enterprises were analyzed by using SPSS 18.0 program. Results are as follows: First, innovativeness, proactiveness, and social value orientation which were sub-factors of social entrepreneurship had positive effects on social performance. Second, proactiveness, risk-taking, and social value orientation which were sub-factors of social entrepreneurship had positive effects on economic performance. Third, the network significantly moderated the effects on innovativeness, proactiveness, social value orientation which were sub-factors of social entrepreneurship, and social performance. Fourth, the network significantly moderated the effects on proactiveness which was a sub-factor of social entrepreneurship, and economic performance. These results exhibited that the social entrepreneurship was effective to increase the organizational performance by activating the network and proposed a useful approach for further studies as an investigation method.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.1
• /
• pp.37-44
• /
• 2015

In traditional social network analysis, the betweenness centrality measure has been heavily used to identify the relative importance of nodes. Since the time complexity to calculate the betweenness centrality is very high, however, it is difficult to get it of each node in large-scale social network where there are so many nodes and edges. In our past study, we defined a new type of network, called the expanded ego network, which is built only with each node's local information, i.e., neighbor information of the node's neighbor nodes, and also defined a new measure, called the expanded ego betweenness centrality. In this paper, We propose algorithm that quickly computes expanded ego betweenness centrality by exploiting structural properties of expanded ego network. Through the experiment with virtual network used Barab$\acute{a}$si-Albert network model to represent the generic social network and facebook network to represent actual social network, We show that the node's importance rank based on the expanded ego betweenness centrality has high similarity with that the node's importance rank based on the existing betweenness centrality. We also show that the proposed algorithm computes the expanded ego betweenness centrality quickly than existing algorithm.

• The Journal of the Korea Contents Association
• /
• v.14 no.1
• /
• pp.165-178
• /
• 2014

Recently, the social network game (SNG) industry is expanding at a fast pace by the increase in the charged item sales. The objective of the present study is to explore factors influencing user intention to purchase charged items. Based on the literature review, flow has been introduced as an influential factor of the intention to purchase and individual influence, social relationship, and social influence as factors of flow. Enjoyment and self-competence are assumed to be measurement constructs for individual influence, social interaction and self-presentation for social relationship, social norm and perceived critical mass for social influence. Empirical analysis show that enjoyment and self-presentation has significant influence on users' flow while self-competence and social interaction has not. Also social norms and perceived critical mass directly influence intention to purchase items. Theoretical and practical implications are discussed by this results.

• Journal of the Korean association of regional geographers
• /
• v.21 no.1
• /
• pp.62-78
• /
• 2015

This paper aims to consider regional linkages in the Province of Young-nam mainly through a social network analysis of sociocultural activities such as leisure, friendly relations and visiting relatives. Passenger O-D data as of 2012 provided by National Transportation DB Center are analyzed using the NetMiner 4.0. The analytical results show that the sociocultural relationship between Daegu-Kyoungbuk and Busan-Ulsan-Kyioungnam is not so close. In particular, some north regions of Kyoungbuk are relatively isolated in the Province of Young-nam. This implicates that regions in the Province of Young-nam are not closely united at least in terms of sociocultural linkages although they are in the homogeneous natural environment of the basin of the Nakdong-river and share a same historical background for a long time. Consequentially this work suggests the Province of Young-nam may not be an united single region on the contrary to a notion of it so far.

• The Korean Journal of Applied Statistics
• /
• v.35 no.2
• /
• pp.299-310
• /
• 2022

As interest in social network analysis increases, researchers' interest in detecting changes in social networks is also increasing. Changes in social networks appear as structural changes in the network. Therefore, detecting a change in a social network is detecting a change in the structural characteristics of the network. A local change in a social network is a change that occurs in a part of the network. It usually occurs between close neighbors. The purpose of this paper is to propose a procedure to efficiently detect local changes occurring in the network. In this paper, we divide the network into partitioned networks and monitor each partitioned network to detect local changes more efficiently. By monitoring partitioned networks, we can detect local changes more quickly and obtain information about where the changes are occurring. Simulation studies show that the proposed method is efficient when the network size is small and the amount of change is small. In addition, under a fixed overall false alarm rate, when we partition the network into smaller sizes and monitor smaller partitioned networks, it detects local changes better.

• Korean Journal of Social Welfare Studies
• /
• v.42 no.3
• /
• pp.381-407
• /
• 2011

This study set out to construct an social capital scale that could be commonly used by social welfare organizations and to apply it to examine any differences in social capital among social welfare organizations. For those purposes, the study distributed a questionnaire by mail to social welfare organizations in 15 cities and provinces across the nation and conducted latent means analysis. The major research findings were as follows. First, as a result of exploratory factor analysis and confirmatory factor analysis, the validity and reliability in measurement indicators of social capital were proved to be satisfactory level. Secondly, social capital were found to be interpreted at the organizational level through the review of levels of analysis. Meanwhile, the configural, metric, and scalar invariance of social capital scale were confirmed, which indicates that the social capital scale can be commonly applied to social welfare organizations. Finally, latent means analysis was carried out to examine differences among social welfare organizations in the subindexes of social capital including network connectivity, setting and sharing of vision, reciprocal norm, trust and cooperation, and group participation. As a result, there were significant differences among social welfare organizations in network connectivity, reciprocal norm, trust and cooperation and group participation but no statistically significant differences among them in sharing of vision, goal and core value. Those findings led to implications needed to manage of social welfare organizations.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.11a
• /
• pp.447-449
• /
• 2012

본 논문은 소셜 네트워크 서비스 내에 존재하는 사용자간의 인맥 네트워크 정보와 사용자들 간에 주고받는 메시지의 긍정, 부정 성향 분석을 통하여 상대적으로 고립되거나 소외된 사용자를 발굴하는 방법에 대한 내용을 다룬다. 현재 소셜 네트워크 서비스를 이용하여 인맥 네트워크를 분석하거나 특정 인물의 영향력을 분석 또는 화두가 되는 이슈 및 트렌드를 추출하는 연구에 초점이 맞춰지고 있다. 사회적으로 크게 대두되고 있는 학교폭력, 자살, 왕따와 같은 문제점을 해결하기 위하여 소셜 네트워크 분석을 통한 고립 및 소외계층 발견 기법이 필요하다. 따라서 본 논문에서는 기존의 소셜 네트워크 분석기법으로 해결할 수 없는 소외계층 발견 방법을 제안한다.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.6 no.1
• /
• pp.39-48
• /
• 2016

The tacit knowledge transfer cultivate the value and mount of tacit knowledge. The tacit knowledge transfer plays the most important role for improving the competitiveness of the organization. Despite the tacit knowledge transfer is very important, the research related with tacit knowledge transfer has not been actively carried out. The barriers to tacit knowledge transfer interfere with the tacit knowledge transfer. The barriers to tacit knowledge transfer are lack of understanding knowledge experts, heavy over-work, insufficient compensation, trust shortage and knowledge stickiness. In order to overcome the barrier of the tacit knowledge transfer, it is necessary to promote knowledge broker. The knowledge broker is the foundation for the tacit knowledge transfer and the critical success factor for efficient tacit knowledge transfer. However, most research related on the knowledge broker had focused on the degree, centrality and density of the knowledge network. The framework is needed to performance indicator for diagnosing the tacit knowledge transfer. Therefore, we suggest the knowledge broker framework based on the social network analysis.

• Korean Journal of Social Welfare
• /
• v.68 no.1
• /
• pp.73-94
• /
• 2016

The purpose of this study is to examine the trend of the studies on Korean social welfare administration over a recent 10 year period. Employing both network analysis and content analysis, which are representative statistical strategies to identify research trends, we analyzed 221 articles published in the Journal of Korean Social Welfare Administration from 2005 to 2014. The major findings were as follows; First, we found two clusters -"social (welfare) service" and "social welfare organization"- in the studies of social welfare administration. In addition, more than 80% of articles are mainly related with human resource management, including job satisfaction, organizational commitment, and so forth. Second, the newly emerging academic subjects such as social enterprise and community network appeared to be done independently of traditional subjects. Third, the proportion of quantitative studies being focused on human resources was overwhelmingly high compared to the other types of studies; therefore, there are a few studies using qualitative or mixed method, evidence based practice, and discourse studies. In addition, the studies of the rural areas, which are a blind spot of the social service delivery system, and the studies about information management, financial management, marketing, organization innovation rarely appeared, despite their significance.

• Journal of Internet of Things and Convergence
• /
• v.7 no.3
• /
• pp.23-30
• /
• 2021

The purpose of this study is to analyze the effect of social capital include networks, trust, norms, and participation on depression in the elderly in the era of convergence. The subjects of this study were 302 senior citizens aged 65 and over who are living in Seoul and Gyeonggi Province. The results are follows. Depression was more severe in the elderly with lower level of education, no religion, and lower social capital including networks and norms. In this study, social networks were found to be the most important contributor to depression. In order to alleviate depression in the elderly through this study, efforts to activate and expand the network of the entire society are required. In other words, it is necessary to expand the activity space of local community, develop programs for various convergence contents, and expand education programs for the elderly in order to vitalize the network of the elderly.