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http://dx.doi.org/10.13103/JFHS.2018.33.1.23

Evaluation of Results in Pesticide Residues on Incongruity Commercial Agricultural Commodities using Network Analysis Method  

Park, Jae Woo (Forces Support Systems Research Center, Defense Agency for Technology and Quality (DTaQ))
Seo, Jun Ho (Forces Support Systems Research Center, Defense Agency for Technology and Quality (DTaQ))
Lee, Dong Hun (Quality Management Operation Department, Defense Agency for Technology and Quality (DTaQ))
Na, Kang In (Forces Support Systems Research Center, Defense Agency for Technology and Quality (DTaQ))
Cho, Sung Yong (Forces Support Systems Research Center, Defense Agency for Technology and Quality (DTaQ))
Bae, Man Jae (Forces Support Systems Research Center, Defense Agency for Technology and Quality (DTaQ))
Publication Information
Journal of Food Hygiene and Safety / v.33, no.1, 2018 , pp. 23-30 More about this Journal
Abstract
The purpose of this research was to introduce network analysis method for analyzing pesticide residues in incongruity commercial agricultural commodities. Based on the "results in pesticide residues on incongruity commercial agricultural commodities" on "Guidelines for food safety management 2017", we used centrality analysis for pesticide residues via degree, closeness and betweenness centrality measurement. In case of degree centrality result, chlorpyrifos and diazinon were the most highly "connected node" in pesticide network. For the closeness centrality result, the most pesticides showed the similar closeness trend except for 19 species of pesticides. Fludioxonil and chlorpyrifos are recognized as the "bridge" of pesticides network with their high betweenness centrality. The results of network analysis show the "relation" data, which could not represent through out the conventional statistical analysis, among the pesticide residues. We hope that the network analysis method will be appropriate and precise tool for analyzing pesticide residues via elaboration and optimization.
Keywords
Pesticide residue; Commercial agricultural commodity; Network analysis;
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  • Reference
1 Borgatti, S.P., Everett, M.G., Freeman, L.C,: Ucinet for windows: Software for Social Network Analysis, Analytic Technologies (Harvard, MA) (http://www.analytictech.com)
2 Freeman, L.C.: Centrality in social networks conceptual classification, Social Networks, 1, 215-239 (1979).
3 Scott, J.: Social network analysis, SAGE Publications Ltd. (2017).
4 Jung, H.W., Kim, D.S., Lee, H.W.: Google god knows everything, Science books (2013).
5 Kim, H.Y., Lee, S.Y., Kim, C.G., Choi, E.J., Lee, E.J., Jo, N.G., Lee, J.M., Kim Y.H.: A survey on the pesticide residues and risk assessment for agricultural products on the markets in Incheon area from 2010 to 2012, Korean J. Environ. Agric., 32, 61-69 (2013).
6 Kim, O. H., Park S. K., Choi Y. H., Seoung H. J., Han S. H., Lee Y. J., Jang J. I., Kim Y. H., Jo H. B., Park G. Y., Yu I. S., Han K. Y.: Survey on the pesticides suspected as an endocrime disrupter in agricultural products distributed in Seoul, Korean J. Pest. Sci., 15, 36-47 (2011)
7 Do, J.A., Lee, H.J., Shin, Y.W., Choe, W.J., Chae, K.R., Soon, K.C., Kim, W.S.: Monitoring of pesticide residues in domestic agricultural products, J. Korean Soc. Food Sci. Nutr., 39, 902-908 (2010).
8 Andras, P., Gwyther, R., Madalinski, A.A., Lynden, S.J., Andras, A., Young, M.P.: Ecological network analysis: and application to the evaluation of effects of pesticide use in an agricultural environment, Pest. Manag. Sci., 63, 943-953 (2007).   DOI
9 Ministry of Food and Drug Safety: Food Safety Management Guidelines for 2017 (2017).
10 Lee, S.H.: Proposal for a direction of safety management policy, food safety management policy and consumer food safety, Sungshin Women's University (2017).
11 National Institute of Agricultural Sciences: Pesticide Information Service (http://pis.rda.go.kr)
12 Lee, S.S.: Network Analysis Methods, Non Hyung Press (2016).
13 Park, H.W. and Leydesdorff, L.: Understanding the KrKwic: A computer program for the analysis of Korean text, J. Korean Data Anal. Soc., 6, 1377-1387 (2004).