2019 Volume 38 Issue Special_Issue Pages 246-255
The purpose of this research is to study the extraction of potential local activity themes using social network analysis. The intention behind this approach is to share interesting themes that local human resources view as parts of the social network structure. To solve such regional issues, this study highlights the importance of using social network analysis as an auxiliary tool. The procedure comprises two main steps. In Step 1, a two-mode graph (individual and theme) is drawn up based on questionnaire data. The point of interest here is searching before and after the edge increases. Since it is a complex social network having two modes (individual and theme), we use a matrix operation (calculation to convert the two-mode social network of “Question 1” and “Question 1 + Question 2” into a one-mode structure), to calculate the social network index after conversion into a structure having a connection between themes. Step 2 is an analysis of added connections (edges of increase). We can understand what potential human relationships exist within an unpopular theme by using a two-mode graph. At this point, it is cut out as an ego network to simplify the relationship with related nodes (themes and individuals). However, there are personal situations that cannot be measured by social network analysis. Therefore, we use the question items in the questionnaire data to examine barriers in the current connections. A series of exploratory analysis frames like this can serve as the basis for implementing social network analysis as a diagnostic tool.
