• Korean Journal of Environmental Biology
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• v.36 no.3
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• pp.370-376
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• 2018

It is important to consider interaction between species in understanding structure and function of the biological community. Current ecological issues such as climate change and habitat loss emphasize the significance of the concept of species interaction in that varying species' interaction across environmental gradients may lead to altered ecological function and services. However, most community studies have focused on species diversity through analysis of quantitative indices based on species composition and abundance data without considering species interactions in the community. 'Ecological network analysis' based on network theory enables exploration of structural and functional properties of ecosystems composed of various species and their interactions. In this paper, network analysis of Cheonggye stream as a case study was presented to promote uses of network analysis on ecological studies in Korea. Cheonggye stream has a simple biological structure with link density of 1.48, connectance 0.07, generality 4.43, and vulnerability 1.94. The ecological network analysis can be used to provide ecological interpretations of domestic long-term monitoring data and can contribute to conserving and managing species diversity in ecosystems.

• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.1-12
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• 2009

A routing policy based on BGP community routing permits to select a specific route for particular network by making use of user-defined routing policies. Especially, community based routing policy is recently getting a great concern to enhance overall performance in the global research networks which are generally inter-connected large number of different characterized networks. In this paper, we analyze the community routing which has been applied in existing global research networks in the network performance point of view, and catch hold of problems caused by the routing performance in a new global research network. Then, we suggest an effective community routing policy model along with an interconnection architecture of research networks, in order to make correct some wrong routings and resolve an asymmetric routing problem, for a new global research network. Our work is expected to be utilized as an enabling base technology to improve the network performance of future global research networks as well as commercial networks.

• Korean Journal of Social Welfare
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• v.62 no.4
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• pp.297-324
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• 2010

The purpose of this study is a qualitative Study for development of measuring social capital in community. The indicator of social capital in this paper was developed through 1) literature review 2) in-depth interview with community welfare network members 3) a qualitative Study for concept development in light of social capital about trust, norms, networks 4) focus-group meeting for content validity verification 5) a pilot-study and 6) a questionnaire survey. The indicator of 79 items for has been constructed with three features : The first is 'trust' with 30 items; the second 'norm' with 22 items; and the third 'network' with 27 items. Cronbach's alpha estimate of the indicator of trust was .948, norms were .899 and networks were .906. This study has been revealed to the reliability and validity and therefor it was an appropriate measurement of social capital in community. The social capital scale developed in this study is useful to be objective about operating condition of community welfare network and to seek ways for pursuing more efficient operations.

• Journal of Information Management
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• v.36 no.4
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• pp.199-215
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• 2005

Experts participating in the knowledge expert network externalize their implicit knowledge by providing information or writing reports. Almost all the members of the network share externalized knowledge and the network facilitate the dissemination and diffusion of knowledge. Individuals reproduce another implicit knowledge by internalizing shared knowledge through the network and re-created knowledge is externalized, establishing knowledge circulation. In this paper, we analyze the expert groups of the Global Network of Korean Scientists & Engineers(KOSEN, www.kosen21.org), the Korea's No. 1 science and engineering knowledge expert community, with the application of the theory of policy network proposed by Marsh & Rhodes. According to the principal standards of policy network classification such as the number of participants, interaction among participants, consistency, distribution of resources and dependency, we categorize the KOSEN expert groups as closed policy network and opened issue network, and divide closed policy network into core community and periphery community.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.171-183
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• 2012

This study intends to find a solution through the activation of community business as a business as a business model of the creation of real satisfaction for the region's residence. In this study focuses on finding out how community building project, which is recently emerging as a new paradigm of regional development. In the past, we have lived community units, but nowadays many communities have been destroyed by the capitalization and the urbanization even in the rural area. This report studies essential elements needed for successful 'Rural Community Business' through case studies of 'Dandelion Village' in Gyoengsangnamdo. In order to do so, we analyzed this villages according to a theoretical 'Sustainable Community Business Model.' We constructed successful business model of 'Rural Community Business' based on six groups - 'Community Leader,' 'Teamwork,' 'Sustainable Population Influx,' 'Sustainable Voluntary Participations of Community Members,' and 'Sustainable Networking.

• Journal of Family Resource Management and Policy Review
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• v.21 no.1
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• pp.65-88
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• 2017

The main purposes of this study are to appraise the family-centered case-management (FCCM) practices in terms of building the community networking efforts, and to propose the practical improvement suggestions to overcome the barriers in practicing the current Healthy Families Policy, FCCM. The blended methodology was employed by collecting the quantitative and qualitative data sets including an staff's on-line survey, in-depth interviews(site case studies), and FGIs. As results, the authors found, despite the building and maintaining functional community networks was the essential and critical condition for the FCCM policy deliveries, many staffs have faced hardships in FCCM practices such as building a new network or finding an available and apt network within their communities. The lack of previous experiences in case-management exaggerated the functional difficulties thus, the new staffs were more prone than the staffs with 2 or more years experiences to the misunderstanding about the missions and tasks related to FCCM. Authors suggested that various on-the-job-training should be provided to eliminate those obstacles to build and/or maintain the community network for FCCM. Also, it is necessary for the each institution's director or managers to understand the FCCM and its relation to community networking, and to support FCCM staff members.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.163-169
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• 2016

This study is to analyze factors affecting a growth of online community with perspectives of social network. Particularly this study tries to explore structural phenomenon built by interactions between users in a certain of free board belonging to the online community, in which focuses on one's writing a comments responding on those of others. With using SNA(Social Network Analysis), the social network data calculated from users' interaction shown as their comments were collected to draw out each individual's centrality value representing the structure of the online community and also we estimated duration time and the number of each comments as a proxy variable representing growth of the online community. And then cause-and-effect relationship between individual's centrality value and the duration time and the number of each comment were analyzed. As a result of the analysis, Core-Periphery, Centralization and Reciprocity have significant effects on the duration time and the number of each comment, therefore those significant values representing online structure will give an implication to manage, to promote the online community, to forecast its evolution path and to build critical policies.

• Journal of Family Resource Management and Policy Review
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• v.11 no.2
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• pp.95-110
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• 2007

This study proposed the necessities and framework of a network system for the Healthy Families Center. Focused on the community network, this study analyzed the related cases of networking. Based on this analysis, this study suggested an effective scheme for the network system : 1. We need to choose the relevant agencies in the context of community environment. 2. It has to be defined according to the strengths and the weaknesses of the Healthy Families Center. 3. For building an effective and long-term networking system, the specific services in which the related agencies are interested in on the community life survey have to be developed and promoted.

• Journal of the Korea Society of Computer and Information
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• v.23 no.10
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• pp.181-188
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• 2018

In this paper, we tried to investigate whether the influence of 'I' in a heterogeneous network of physical network and virtual network can be quantitatively measurable. To do this, we used Networked Community(NC) methodology to devise a concrete model of influence assessment in heterogeneous network. In order to test the model, we conducted an experiment with Donald J. Trump and his surroundings to evaluate the effectiveness of this influence assessment model. Experimentation included the measurement of impacts on the physical and virtual networks, and the impact on the networked community. Using Trump's case, we found that analyzing only one of the two networks can not accurately analyze the impact on others.

• Journal of Information Processing Systems
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• v.10 no.2
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• pp.271-282
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• 2014

The advancement of knowledge society has enabled the social network community (SNC) to be perceived as another space for learning where individuals produce, share, and apply content in self-directed ways. The content generated within social networks provides information of value for the participants in real time. Thus, this study proposes the social network community activity-based content model (SoACo Model), which takes SNC-based activities and embodies them within learning objects. The SoACo Model consists of content objects, aggregation levels, and information models. Content objects are composed of relationship-building elements, including real-time, changeable activities such as making friends, and participation-activity elements such as "Liking" specific content. Aggregation levels apply one of three granularity levels considering the reusability of elements: activity assets, real-time, changeable learning objects, and content. The SoACo Model is meaningful because it transforms SNC-based activities into learning objects for learning and teaching activities and applies to learning management systems since they organize activities -- such as tweets from Twitter -- depending on the teacher's intention.