• Title/Summary/Keyword: Causal Network

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Research on the Relationship between Movement and Volition of Soldier's Service Using Causal Loop (인과지도 분석을 통한 이주가 직업군인의 복무의지에 미치는 영향에 관한 연구)

  • Ko, Seong-Pil;Lee, Jeong-Dong;Choi, Jeong-Hwan;Jung, Euy-Young
    • Korean System Dynamics Review
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    • v.14 no.1
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    • pp.69-87
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    • 2013
  • The purpose of this paper is to explore the relationship between the number of relocation and volition of soldier's service based on system thinking perspective using a causal loop analysis. Research adopting system dynamics concerning on the volition of soldier's service and relocation has not been studied yet. Causal loops are analyzed and evaluated by focusing on soldier's military performance, stress of family members and family members' welfare service. Result of this study is that soldier's periodical movement is indispensable factor maintaining military life. Most of the married soldier's life conditions are worse than ordinary people. As the number of relocation is increasing family of soldier's stress is increased by anxiety for welfare conditions is supposed to relocate. The number of movement to another place of soldier's children is more than two times and the result of learning achievement is worse than ordinary students. This kind of stress can influence the married soldier's military performance and stress. So the welfare service should be expanded to an official residence, education, facility, district network service and so on.

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A Systems Thinking Approach for Facilitating Benevolent Comments Online (온라인 선플 활성화 방안 탐색: 시스템사고 접근 방식으로)

  • Choi, Jee-Eun;Lee, Sun-Gyu;Kim, Hee-Woong;Kwahk, Kee-Young
    • Knowledge Management Research
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    • v.17 no.4
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    • pp.191-213
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    • 2016
  • Since the smartphone era has spurred world-over, social network services have become a part of people's daily lives. However, this relatively new phenomenon of technology development raises several negative side effects such as cyberbullying. One of the representative cases of cyberbullying is posting malicious comments online. Multiple social issues arising from this have given impetus to the "benevolent comments campaign" in order to restrain the diffusion of malicious comments. Benevolent comments have advantages that generate positive externalities such as inspiring ethics for an appropriate internet culture, but there is a lack of theoretical research on the deeper understanding of posting benevolent comments. This study thus aims to extract the motivations behind posting benevolent comments through in-depth interviews and suggest alternatives for relative issues through the causal relationship diagram of the system dynamics methodology. This work contributes to our understanding of the factors that affect the increase and decrease in benevolent comments in distinct structural frameworks.

Study on the Structural Causality of Social Network of Luxury Brands

  • LEE, Jae-Min
    • Journal of Wellbeing Management and Applied Psychology
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    • v.5 no.2
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    • pp.11-14
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    • 2022
  • Purpose: The purpose of this study is to investigate the structural causal relationship between the SNS marketing attributes of luxury brands on brand awareness, brand involvement, and brand attachment. Research design, data and methodology: To this end, a survey was conducted on 427 users of large Internet communities and SNS. The results of the empirical analysis are summarized as follows. Results: First, among SNS marketing attributes, information, reliability, and update had a significant positive (+) influence on purchase intention. Second, among SNS marketing attributes, informativity, interaction, playability, and update had a significant positive (+) influence on brand recognition. Reliability, interaction, and update had a significant positive (+) effect on brand involvement. In addition, in brand attachment, playability and up-to-dateness had a significant positive (+) influence. Conclusions: Looking at the causal relationship between brand attitudes, there was a significant positive influence on brand involvement, and a significant positive influence on brand involvement, but the effect of brand awareness on brand attachment was not significant.

The Influence of Authors' Centrality on Research Performance in a Large-Scale Collaborative Research Network (대규모 공동연구 네트워크에서 저자의 중심성이 연구성과에 미치는 영향)

  • Moon, Seonggu;Kim, Injai
    • Journal of Information Technology Services
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    • v.17 no.2
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    • pp.179-190
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    • 2018
  • This study is about the influence of authors' centrality on research outcomes in a large-scale collaborative research network. Using the social network analysis method, five types of centralities were derived. Six research outcomes of individual researchers were also derived through bibliographic information of the social science field for the last 10 years. A multivariate regression analysis was conducted to examine the causal relationship between the centrality and research outcome, and the effect of centrality on research outcomes was found to be statistically significant. The result of this study shows that the revised citation and H-index significantly influenced the authors' centrality. This result can imply that the centrality of the researcher can expect a considerable influence of the thesis as well as a certain level of productivity. The meaning of this study is to analyze the effect of centrality on the research outcomes of the large-scale collaborative research network in the past decade, and is carefully to suggest a guideline in order to support new research information services for active researchers and the advancement of collaborative research. This study has its limitation for interpreting the diverse academic fields of the social sciences in a uniform way. In future study, it is necessary to conduct studies using various weighted indices for network centrality in order to measure the influence of research.

Evolution of Industrial Agglomeration and Its Causal Relation with Road Networks in the U.S. (미국의 산업집적 추이와 도로교통망의 인과관계 분석)

  • Song, Yena;Anderson, William P.;Lakshmanan, T.R.
    • Journal of the Korean Geographical Society
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    • v.48 no.1
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    • pp.72-86
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    • 2013
  • Industrial agglomeration is an old theme in economic geography and many studies have been devoted to this topic. But only few have empirically looked at the time trend of industrial agglomeration. This study measured agglomeration of U.S. industries over last 29 years and measurement results indicated that industrial clustering has occurred during the study period in all study industries without a common time trend shared amongst the study industries. The agglomeration levels then were plugged in to investigate causalities, i.e. causal relations, around industrial agglomeration. Three variables were selected to see causal relations with agglomeration levels based on literatures, and our focus was given to the causality between transport network and agglomeration. Causal relation from transport to agglomeration was found in various industries and this supports the argument that the development of transportation influences industrial agglomeration. At the same time inverse and bi-directional causalities were also revealed implying more complex relationship between these two.

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Causal Information Transmission Protocol Between Publishers and Subscribers for Overlapping Groups (중복 그룹을 위한 공급자와 소비자 간 인과관계 정보 전송 프로토콜)

  • Kim, Cha-Young;Ahn, Jin-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.6
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    • pp.215-221
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    • 2011
  • Communication infrastructure of wireless sensor networks significantly tends to depend on application requirements. Gossip communication is becoming one of the promising solutions for addressing its scalability problems in providing information propagation functionality based on the P (publish)/S (subscribe) paradigm. In particular, despite the importance of both guaranteeing message delivery order required and supporting overlapping groups in sensor networks, there exist little research works on development of gossip-style dissemination protocols to satisfy all these requirements. In this paper, we present the latest causal information transmission protocol between publishers and subscribers for overlapping groups. In this protocol, sensor leaders as publishers might guarantee consistently causally ordered message delivery among themselves by aggregating causality information. On the other hand, only the latest causal information piggybacked on each multicast message is transmitted from publishers to subscribers through gossip-style dissemination. Its scalability feature might be highly suitable for the area of the applications requiring only the minimum meaningful information.

Network Connecting Structure and Contextual Meanings of Chungbuk Innovation Projects Based on the Amalgamation of Social Network Analysis and System Dynamics Approaches (SNA와 SD 방법론을 활용한 충북 지역혁신사업의 네트워크 연결구조와 함의)

  • Lee, Mi-Ra;Hong, Seong-Ho;Park, Ju-Hye;Lee, Man-Hyung
    • Korean System Dynamics Review
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    • v.10 no.2
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    • pp.103-120
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    • 2009
  • Using various data derived from the regional innovation projects in the IT and BT-sectors within Chungbuk Province, this study tries to observe formation processes of network connecting structure and their spill-over effects. Considering the dynamic nature of key issues, it applies both social network analysis and causal loop methods. After a series of simulation exercises, we find that so-called extroverted regional innovation projects, that is, ones financially supported by the central government, reveal a higher tendency in the centrality, heavily depending on a handful of well reputed organizations. It is quite similar to the reinforcing mechanism, resulting in the rich-get-richer and the poor-get-poorer. Compared with the existing documents, nonetheless, it shows relatively weak in the mechanism strength, implying the fact that regional innovation projects have significantly contributed to ameliorating the unequal distribution of innovation organizations within Chungbuk Province. On the other hand, this study concludes that all the brokerage organizations related to the regional innovation projects have settled in Chungbuk Province. Whereas the Capital Region-based organizations present a higher tendency in the knowledge-network, it seems that the regional innovation projects have significantly contributed to upgrading direct and indirect competitiveness of the local organizations.

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Structure Modeling on Factors Influencing the User Satisfaction of Social Network Services by Mediating the Moderator of the Service Types in SNS (SNS 서비스유형을 조절변수로 한 사용자만족도의 구조모형)

  • Yun, Sang-Hun;Kim, Keun-Hyung;Oh, Sung-Ryoel
    • The Journal of Information Systems
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    • v.21 no.3
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    • pp.23-44
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    • 2012
  • The first purpose of this paper is to identify factors having an effect on the user satisfaction of the SNS(Social Network Services) users and to examine causal relationships among those factors. The second is to examine how the causal relationships between the factors could be changed in the service types in SNS, which would be divided into web based SNS and mobile SNS. For achieving the purposes, we established the research model and hypotheses based on Information Success and Technology Acceptance Model. The characteristics of the SNS users consist of Individual Innovation and Social Influence while the characteristics of the SNS system consist of Information Quality and System Quality. The hypotheses were verified by analyzing data, which was collected from survey research on users of the SNS, with AMOS 18.0 statistical package. As a result, the first, we observed that more important the SNS users would consider the social relation, more useful they would recognize the function of SNS. The second, we observed that faster and easier the users could obtain hourly information in diversity, more useful they would recognize the function of SNS. The third, we observed that more innovative the mobile SNS users would become, more negative they would consider the usefulness of SNS. The fourth, we observed that more important the web based SNS users would consider the social relation, more negative they would consider the usefulness of SNS.

A Java Group Communication System supporting Extended Virtual Synchrony (Extended Virtual Synchrony를 지원하는 자바 그룹통신 시스템)

  • 문남두;이명준
    • Journal of KIISE:Computing Practices and Letters
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    • v.10 no.1
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    • pp.37-48
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    • 2004
  • Important Java network application services have been rapidly increased along with the growth of the Internet. So, it is desirable for such applications to serve transparently, continuously and safely even if the network is temporally partitioned or certain hosts running those services are crashed down. To satisfy such requirements, many group communication systems have been developed. However, existing Java-based group communication systems do not support both the extended virtual synchrony and various types of message delivery such as FIFO, causal, total and safe delivery service. In this paper, we present the design and implementation of a Java group communication system, named JACE, supporting various types of message delivery between group members and the extended virtual synchrony model. The JACE system consists of a number of protocol modules which can be stacked on top of each other in a variety of ways. In addition, using the JACE system, we have developed an experimental UDDI registry for discovering and publishing information about Web services.

Bayesian Network Model to Evaluate the Effectiveness of Continuous Positive Airway Pressure Treatment of Sleep Apnea

  • Ryynanen, Olli-Pekka;Leppanen, Timo;Kekolahti, Pekka;Mervaala, Esa;Toyras, Juha
    • Healthcare Informatics Research
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    • v.24 no.4
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    • pp.346-358
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    • 2018
  • Objectives: The association between obstructive sleep apnea (OSA) and mortality or serious cardiovascular events over a long period of time is not clearly understood. The aim of this observational study was to estimate the clinical effectiveness of continuous positive airway pressure (CPAP) treatment on an outcome variable combining mortality, acute myocardial infarction (AMI), and cerebrovascular insult (CVI) during a follow-up period of 15.5 years ($186{\pm}58$ months). Methods: The data set consisted of 978 patients with an apnea-hypopnea index (AHI) ${\geq}5.0$. One-third had used CPAP treatment. For the first time, a data-driven causal Bayesian network (DDBN) and a hypothesis-driven causal Bayesian network (HDBN) were used to investigate the effectiveness of CPAP. Results: In the DDBN, coronary heart disease (CHD), congestive heart failure (CHF), and diuretic use were directly associated with the outcome variable. Sleep apnea parameters and CPAP treatment had no direct association with the outcome variable. In the HDBN, CPAP treatment showed an average improvement of 5.3 percentage points in the outcome. The greatest improvement was seen in patients aged ${\leq}55$ years. The effect of CPAP treatment was weaker in older patients (>55 years) and in patients with CHD. In CHF patients, CPAP treatment was associated with an increased risk of mortality, AMI, or CVI. Conclusions: The effectiveness of CPAP is modest in younger patients. Long-term effectiveness is limited in older patients and in patients with heart disease (CHD or CHF).