• Title/Summary/Keyword: Network effects

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Determinants of Inventor Productivity: An Empirical Result from Panel Regressions Using Network Characteristics (발명자 생산성 결정요인: 네트워크 특성을 이용한 패널회귀분석결과)

  • Choo, Kineung
    • Journal of Technology Innovation
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    • v.25 no.3
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    • pp.83-113
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    • 2017
  • This paper constructs panel data of inventors listed on patents applied for the KIPO during 1991-2005 and analyzes the effects of network characteristics on inventor productivity. The findings are as follows: ⅰ) Strong ties within a network have positive effects on inventor productivity. ⅱ) An inventor with high centrality shows high producitivity. ⅲ) Technological diversity of a network enhances inventor productivity. ⅳ) An inventor belonging to a network of good quality shows higher productivity. ⅴ) Network size is positively related with inventor producitvity. ⅵ) A lone inventor shows the highest productivity among types of inventors, and a co-inventor with the experience of standalone invention is more productive compared to an inventor with only the experience of co-invention. ⅶ) The productivity effects of network variables differ across regions. ⅷ) Differences among regions do not decrease though geographical boundaries become less important.

Analysis on Effects of The Firewall on Networks (네트워크 상에서의 침입차단시스템 영향력 분석)

  • 정선이;박정은;유수연;장성은;채기준;노병규
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.10 no.4
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    • pp.95-105
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    • 2000
  • The Firewall is needed in order to protect communication networks from ill effects of informatization such as information leakage, destruction, forgery and virus. To take an advantage of the firewall, the security manager must understand the effects that it can have on the network. There airs, however, no tools available to evaluate the performance of the firewall. In this paper, we study the effect of the firewall by putting various kinds of traffic into the actual network. Also, using COMNET- III, we model two networks with and without the firewall. And we analyze the effects under the various network envion-ments.

Moderating the Effects of a Friendship Network and Quality on the Association between Mutual Antipathy and Maladjustment (아동의 상호 적대관계와 부적응의 관련성에서 친구관계망 및 친구관계 질의 중재효과)

  • Shin, Yoolim
    • Human Ecology Research
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    • v.51 no.5
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    • pp.473-481
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    • 2013
  • The purpose of this study was to investigate the moderating effects of a size of the friendship network and quality of friendship on the associations between mutual antipathy and maladjustment. The subjects were 678 fifth- and sixth-grade primary school children who were recruited from a public school in Bucheon City. The Peer Nomination Inventory was used to assess mutual antipathy, peer victimization, social withdrawal, aggression, and the friendship network. The children were given a classroom roster and asked to nominate up to three classmates who fit each description. Additionally, the children reported the quality of their friendships using the Friendship Quality Scale. Each child was asked to indicate his or her one best friend and rate how accurately a sentence describe done of their best friends on the scale. The results revealed that the friendship network and friendship quality significantly moderated the relationships between mutual antipathy and social withdrawal, and peer victimization. The magnitude of the association between mutual antipathy and social withdrawal was not significant for large friendship networks and high quality friendships. Although mutual antipathy was significantly associated with peer victimization, the association was stronger at lower levels than at higher levels of the friendship network and quality. However, there was no moderating effect of the friendship network and quality on the association between mutual antipathy and aggression. A large friendship network and high quality friendship could be protective factors among those who have mutual antipathy in peer groups.

Research on the Impact of the Network Marketing Strategy on Enterprise Performance of Artistic Products - Centered on Consumers' Impulsive and Repeated Purchasing Behaviors

  • Du, Mingzhe
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.8
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    • pp.159-166
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    • 2019
  • In this paper, we propose takes network marketing as a starting point for analysis, uses the theory of purchasing behavior and enterprise performance to analyze the network marketing strategy of artistic products, incorporates the practical problems encountered by some artistic products enterprises in Zhejiang Province in network marketing into theoretical research. The theoretical model of network marketing strategy acting on enterprise performance through the intermediary effect of purchasing behavior is constructed. This paper conducted an in-depth survey of three representative core domestic companies engaged in Internet marketing of artistic products, and analyzed the questionnaires of 357 respondents. The initial model was verified by statistical tools such as SPSS and AMOS, and three conclusions were drawn: Firstly, network marketing strategies of different dimensions have different effects on purchasing behavior: pricing strategy and product strategy have significant positive effects on impulse purchasing behavior, but channel strategy has no significant impact on impulse purchasing behavior; Channel strategy and product strategy have a significant positive impact on repeated purchasing behavior, but pricing strategy has no significant impact on repeated purchasing behavior. Second, user purchasing behavior has a significant positive impact on enterprise performance. Third, network marketing strategies of different dimensions have significant direct and positive impact on enterprise performance.

Social Network Effects on Post-Traumatic Stress Disorder (PTSD) in Female North Korean Immigrants

  • Lee, Byung-Kyu;Youm, Yoo-Sik
    • Journal of Preventive Medicine and Public Health
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    • v.44 no.5
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    • pp.191-200
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    • 2011
  • Objectives: The goal of this paper is to examine the social network effects on post-traumatic sdress disorder (PTSD) in female North Korean immigrants who entered South Korea in 2007. Specifically, it attempts to verify if the density and composition of networks make a difference after controlling for the network size. Methods: A multivariate logistic regression is used to probe the effects of social networks using the North Korean Immigrant Panel data set. Because the data set had only completed its initial survey when this paper was written, the analysis was cross-sectional. Results: The size of the support networks was systematically related to PTSD. Female North Korean immigrants with more supporting ties were less likely to develop PTSD, even after controlling for other risk factors (odds-ratio for one more tie was 0.8). However, once we control for the size of the network, neither the density nor the composition of the networks remains statistically significant. Conclusions: The prevalence of the PTSD among female North Korean immigrants is alarmingly high, and regardless of the characteristics of supporting network members, the size of the supporting networks provides substantial protection. This implies that a simple strategy that focuses on increasing the number of supporting ties will be effective among North Korean immigrants who entered South Korea in recent years.

A Study on Evaluation for Risk Level in Transmission Network Connected with Renewable Energy (신재생에너지 계통 연계에 따른 송전망 Risk Level 평가에 대한 연구)

  • Kim, Sung-Yul;Moon, Sang-Kun;Kim, Jin-O
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.2
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    • pp.87-95
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    • 2011
  • A Renewable Portfolio Standard(RPS) is a regulation that requires the increased generation of energy from renewable energy sources such as solar, wind, fuel cell, small hydro, biomass and geothermal. By environmental, technical and these regulatory reasons, the amount of renewable energy sources will be increased in a network. However, it is hard to assess risk of a transmission network with large scale renewable energy sources because the output characteristics of renewable energies are intermittent. This paper evaluates effects of a transmission system with supplemental large scale renewable energies into the existing system. To evaluate these effects, a methodology for risk level of components in a network is proposed considering steady state and contingency N-1 in this paper. We consider line current and bus voltage in each state of a network.

A Study on Networking Effects of Financial Leverage in Middle-Sized Hospitals (네트워크 병원의 경영성과에 관한 연구)

  • Chung, Hee-Tae;Kim, Kwang-Hwan;Park, Hwa-Gyu;Lee, Kyung-Soo
    • Journal of Digital Convergence
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    • v.11 no.1
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    • pp.339-347
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    • 2013
  • Recently, Korean medium-sized medical organizations require innovative strategies. Network-driven concerns in Korean medical organization have been a front burner issue to enhance economic and managerial efficiencies. Effective network-driven collaboration depends upon effective processes and economics strategies among medical providers group. From this motivation, we studied and provided the systems' theoretical background and networked hospital system structures. The aim of suggested research model in this paper is to overcome demerit of stand-alone medium-sized hospitals and analyze a system dynamics model to measure managerial performances. The developed system dynamics model is to quantify the effects of network strategy based on the historical financial data of real-life hospitals network experiences. The network effects are resulted in efficiencies and effectiveness enhancements in competitiveness through advertisement and effective education system. The simulations of system dynamics results can explain the improvement in financial outcome by joining in the network group. The network effects are shown more effective in dental hospital than other groups. In conclusion, it is expected that network effects have a critical influence of managerial, marketing, and medical collaboration performance for any type of medical hospitals.

Methyl Linderone Suppresses TPA-Stimulated IL-8 and MMP-9 Expression Via the ERK/STAT3 Pathway in MCF-7 Breast Cancer Cells

  • Yoon, Jae-Hwan;Pham, Thu-Huyen;Lee, Jintak;Lee, Jiyon;Ryu, Hyung-Won;Oh, Sei-Ryang;Oh, Jae-Wook;Yoon, Do-Young
    • Journal of Microbiology and Biotechnology
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    • v.30 no.3
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    • pp.325-332
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    • 2020
  • Methyl linderone (ML), a cyclo-pentenedione, was isolated from the fruit of Lindera erythrocarpa Makino (family Lauraceae). This plant has well-known anti-inflammatory effects; however, the anti-cancer effects of ML have not yet been reported. Thus, in the present study we investigated the effects of ML on the metastasis of human breast cancer cells. We used 12-O-tetradecanoyl phorbol-13-acetate (TPA)-stimulated MCF-7 cells as the cell model to study the effects of ML on invasion and migration. ML was found to reduce the invasion and migration rate of TPA-stimulated MCF-7 cells. Moreover, it inhibited two metastasis-related factors, matrix metalloproteinase-9 (MMP-9) and interleukin-8 (IL-8), at the mRNA and protein expression levels, in TPA-treated MCF-7 cells. The mechanism by which ML exerted these effects was through the inhibition of translocation of activator protein-1 (AP-1) and signal transducer and activator of transcription-3 (STAT3), mediated via phosphorylation of extracellular signal-regulated kinase (ERK). Taken together, our findings indicated that ML attenuated the TPA-stimulated invasion and migration of MCF-7 cells by suppressing the phosphorylation of ERK and its downstream factors, AP-1 and STAT3. Therefore, ML is a potential agent for the treatment of breast cancer metastasis.

Refinement of Projection Map Based on Artificial Neural Networks to Represent Noise-Reduced Foam Effects (노이즈가 완화된 거품 효과를 표현하기 위한 인공신경망 기반의 투영맵 정제)

  • Kim, Jong-Hyun
    • Journal of the Korea Computer Graphics Society
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    • v.27 no.4
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    • pp.11-24
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    • 2021
  • In this paper, we propose an artificial neural network framework that can represent the foam effects expressed in liquid simulation in detail without noise. The position and advection of foam particles are calculated using the existing screen projection method, and the noise problem that appears in this process is solved through an proposed artificial neural network. The important thing in the screen projection approach is the projection map, but noise occurs in the projection map in the process of projecting momentum into the discretized screen space, and we efficiently solve this problem by using an artificial neural network-based denoising network. When the foam generating area is selected through the projection map, 2D is inversely transformed into 3D space to generate foam particles. We solve the existing denoising network problem in which small-scaled foam particles disappear. In addition, by integrating the proposed algorithm with the screen-space projection framework, all the advantages of this approach can be accommodated. As a result, it shows through various experiments whether it is possible to stably represent not only the clean foam effects but also the foam particles lost due to the denoising process.

Re-examining Network Market Strategies from the Perspective of the Local Network: Market Competition between Incompatible Technologies

  • Choi, Han-Nool;Lee, Byung-Tae
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.10a
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    • pp.189-206
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    • 2005
  • Much of work on network externality assumed network effects are dependent on the network size. Therefore, very little consideration is given to the view that marginal benefits from joining the network may not increase with the network size if consumer benefits come from the direct interaction with neighbors, namely local network. In this study, we used the agent-based simulation method to reexamine the effectiveness of the traditional network market strategy under the presence of the local network where two incompatible technologies compete. We found that the strategy of growing an initial customer base is not effective under the presence of the local network. Our study also showed that targeting customers based on their technology Preference is not as effective as targeting customers within the same local network. As a result, the focus of a network market strategy should be directed to taking advantage of the customer network.

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