preview

Police Detection On The Drug Side Effect Network Using Walktrap Community Detection Algorithm

Better Essays

3.6 Community detection Figure 9. Community detection on the drug side-effect network using walktrap community detection algorithm. There were 61 communities detected in the network with the largest community consists of 35 drugs and smallest ones consist of only two drugs.

As a result of using walktrap community detection algorithm, there were 61 communities detected altogether. The biggest community consists of 35 drugs and the smallest ones consist of two drugs.

4 Discussion
4.1 Improvement in Shiny GUI
Due to my limited skills and experience in programming, Shiny GUI was not yet completed according to original plan. A lot of improvements and additions can be made on the existing coding. For future studies that would like to …show more content…

4.3 Network analysis
In the results section, five drugs with highest centrality value and five drugs with lowest centrality value were presented in tables with the corresponding first-level ATC code. However, all three centrality measures (degree, betweenness, and closeness) did not show a fixed pattern. Drugs that acquire high centrality value do not necessarily be identified with top seven ATC code (N, C, J, S, D, A, R) and vice versa, except for ATC code for drugs with the highest five closeness centrality value happened to be in the top group. This could suggest there is possibility of drug interactions from various therapeutic classes.

From Figure 7, majority of drugs lie on the left side of distribution, i.e. low degrees, and this could imply that drug interactions were likely to be evenly distributed in the drug side-effect network. Justification of this matter can be inferred from the network itself, where there was one massive component with 356 drugs (out of 424 drugs). Drugs with the highest and lowest degree are carteolol and ginkgo respectively. Therefore, in the region with a lot of overlapping nodes in Figure 5, carteolol is difficult to be spotted due to high number of adjacent edges connected to it. For ginkgo, it possesses a low degree centrality value since ginkgo is connected only to hydroxychloroquine by Group 2 interaction (i.e. drugs with similar structures or targets).

Since methadone has the

Get Access