• Korean System Dynamics Review
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• v.14 no.1
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• pp.89-104
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• 2013

This study aims to explore the potentials of System Dynamics as a tool to understand the community welfare practice by paying attention to the strengths of System Dynamics to complement the weaknesses of the theories and studies of the community welfare practice. The contents of this study are as follows. First, it draws the limitations of its theories and studies by reviewing the literatures related. Second, it outlines the characteristics of the community welfare practice process as well as the strengths of System Dynamics as a tool to understand the community welfare practice. Third, it presents a causal loop model of System Dynamics applied to the community welfare practice process. Lastly, it concludes with the suggestions and implications of the key research findings. This study is expected to be a basic study to highlight the potentials of System Dynamics as a tool to understand the community welfare practice.

• Korean System Dynamics Review
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• v.14 no.3
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• pp.75-103
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• 2013

The purpose of this study is to use system dynamics to establish the relation among each variable through the construction process of Community Planning Model, and examine what changes policy scenarios per alternative cause in Community Planning through policy simulation of the constructed model. Therefore, this study extracted chief variables of Community Planning Projects through precedent researches related to Community Planning, and extracted variables were prepared as causal map to examine in what causal cycle feedback structure within Community Planning they can be explained. Next, Community Planning Model was constructed based on the prepared causal map. The model was verified by specialists' interviews and simulation of example areas. This study, which aimed to construct Community Planning Model using system dynamics, has a significance in that it prepared the foundation to provide useful methodology in monitoring the progress of project or establishing the plan of future Community Planning Projects.

• Korean System Dynamics Review
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• v.16 no.2
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• pp.33-52
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• 2015

This study aims to comprehensively understand the dynamics of the community network of Community Child Centers and further find out the measures to activate its community network based on the Systems Thinking. The contents of the study are as follows. Firstly, it examines the existing studies on the community network of Community Child Centers and presents the major variables to understand the situation of its community network. Secondly, it analyzes the structure of its causation in order to understand the dynamics of its community network. Lastly, it concludes with the suggestions to activate its community network based on its feedback structure presented in the causal loop diagrams. This study is expected to make a useful and basic material as the first research to dynamically understand the community network issue of the Community Child Centers.

• Korean System Dynamics Review
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• v.17 no.2
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• pp.57-79
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• 2016

This study aims to examine the dynamics of the variables related to the program management of Community Child Centers in Daegu metropolitan area and further search for the measures to activate its development based on the Systems Thinking. For these purposes, the study deals with the followings. Firstly, it overviews the legal bases of the Community Child Centers and its present condition and further reviews the relevant studies. Secondly, it summarizes its methodologies. Thirdly, based on the results of the questionnaire and interviews, it draws the major variables to understand its program management and analyzes its causal feedback structure and dynamics. Lastly, it concludes with the measures to activate its program management. This study is expected to make a useful resource to dynamically understand the program management issue of the Community Child Centers in Korea.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.2142-2161
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• 2018

Distance dynamics model is an excellent model for uncovering the community structure of a complex network. However, the model has poor robustness. To improve the robustness, we design an enhanced distance dynamics model based on Ego-Leader and propose a corresponding community detection algorithm, called E-Attractor. The main contributions of E-Attractor are as follows. First, to get rid of sensitive parameter ${\lambda}$, Ego-Leader is introduced into the distance dynamics model to determine the influence of an exclusive neighbor on the distance. Second, based on top-k Ego-Leader, we design an enhanced distance dynamics model. In contrast to the traditional model, enhanced model has better robustness for all networks. Extensive experiments show that E-Attractor has good performance relative to several state-of-the-art algorithms.

• Knowledge Management Research
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• v.11 no.2
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• pp.17-35
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• 2010

As the internet has been used widely, many online communities have been appeared. Initially, many users used online communities for communication and information sharing. Recently, users start using online communities for building, maintaining, and extending social networks which they did in offline environments previously. The importance of online community is considered by many scholars and also companies to use it strategically. Therefore many studies have focused on exploring characteristics of online communities. Most of them have emphasized the importance of online community. Few study focuses on dynamics within online community. By using social network analysis (SNA), this study tries to explore dynamics of online community. Specially, By measuring the centrality of online community and tracing its changes, this study investigates how the relationships among participants in online communities have been changed over the time. Findings of this study indicate that, as participants has joined in an online community over the time, an opinion leader is appeared, and her/his power is changed.

• Korean System Dynamics Review
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• v.13 no.2
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• pp.73-91
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• 2012

This study aims to comprehensively understand the dynamics between the factors related to service quality, satisfaction and reuse intention. The contents of the study are as follows. First, it draws the limitations of the existing studies by reviewing the literature related to the relationships between service quality, satisfaction and reuse intention. Second, it highlights the characteristics of System Dynamics as a means of overcoming their shortcomings as well as examining the dynamic mechanism of the relevant factors. Third, it explores the feedback loops of the relevant key variables and the feedback structure of the system. Lastly, it concludes with the suggestions and implications of the key research findings. This study is expected to emphasize the importance of the feedback mechanism operating around the service quality, satisfaction, and reuse intention. Further, the causal loop diagram developed can be a basic material for the diverse levels of governments as well as service providers to refer to for improving the service quality of Community Social Service Investment Program.

• Korean System Dynamics Review
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• v.16 no.4
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• pp.83-101
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• 2015

The purpose of this study is to illuminate the reason why community building policies by the Government seem to fail to work properly in Korea. The existing studies focus mainly on designing community building systems, thus they cannot provide plausible explanations about the cause of the unsuccessful outcomes from the policies. To overcome the limitations of the existing studies, the authors examine the implementation factors to influence the policy instruments with the perspective of policy implementation. By performing the analysis, the results imply the implementation factors, such as executer's competence, supports by related interests, incentive systems, and legal-institutional instruments, are important to influence the implementation performance of the relevant policy instruments. To make community building successful policies, The authors therefore suggest that the capacity of local administrators and residents should be raise, and one of which the way to enhance is to support research and program development by the resident-oriented living laboratory systems in localities.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.7
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• pp.3041-3063
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• 2018

Community search aims at finding a meaningful community that contains the query node and also maximizes (minimizes) a goodness metric. This problem has recently drawn intense research interest. However, most metric-based algorithms tend to include irrelevant subgraphs in the identified community. Apart from the user-defined metric algorithm, how can we search the natural community that the query node belongs to? In this paper, we propose a novel community search algorithm based on the concept of the k-hop and local distance dynamics model, which can naturally capture a community that contains the query node. The basic idea is to envision the nodes that k-hop away from the query node as an adaptive local dynamical system, where each node only interacts with its local topological structure. Relying on a proposed local distance dynamics model, the distances among nodes change over time, where the nodes sharing the same community with the query node tend to gradually move together, while other nodes stay far away from each other. Such interplay eventually leads to a steady distribution of distances, and a meaningful community is naturally found. Extensive experiments show that our community search algorithm has good performance relative to several state-of-the-art algorithms.

• Journal of Environmental Science International
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• v.10 no.3
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• pp.239-245
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• 2001

This research was performed to investigate the dynamics of microbial community by RBC (Rotating Biological Contactor) using Rhodococcus sp. EL-GT and activated sludge. Cell counts revealed by DAPI were compared with culturable bacterial counts from nutrient agar. Colony counts on nutrient agar gave values 20~25% and 1~15% of cell counts (DAPI). The cell counts for the dynamics of bacterial community were determined by combination of in situ hybridization with fluorescently-labelled oligonyucleotide probes and epifluorescence microscopy. Around 90~80% of total cells visualized DAPI were also detected by the bacteria probe EUB 338. For both reactors proteobacteria belonging to the gamma subclass were dominant in the first stage (1 and 2 stage) and proteobacteria belonging to the gamma subclass were dominant in the last stage (3 and 4 stage).