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Interestingly, the turnover in the inner layers is higher than the turnover in the active network. In fact, as users constantly add new contacts in their networks, they must deactivate some of the existing relationships to make room for the new ones. This turnover can be explained as the combined effect of the limited communication capacity of users, and their constant communication activity.
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This reveals that the average turnover in each layer is really high, especially when compared to the results found in offline environments, where the turnover is more typically in the region of ∼40%. The low values of Jaccard coefficient for all the layers indicate that the turnover is generally greater than 75 %, with a maximum of 98.8 % for the support clique of aficionados. The average Jaccard coefficients for the different layers are reported in Table 5.1 under the label ‘all ego networks’. Thus, we selected 190,249 ego networks with active lifespan greater than 2 years. To perform this analysis, we further reduced the number of ego networks in the dataset, since we needed at least 2 years of active lifespan to calculate the Jaccard coefficient between two different non-overlapping 1-year windows. Thus, we can discover whether people maintain a stable network of contacts in Twitter or prefer to vary their social relationships over time, and so allows us to define two distinct classes of users: (i) users with structured ego networks, showing ego networks whose composition and turnover is similar to those found in other more traditional social networks and (ii) people without structured ego networks, showing higher turnover. This allowed us to determine the ‘turnover’ that takes place in the ego networks. We calculated the Jaccard coefficient for the different layers in the ego networks. The Jaccard coefficient can be a value between 0 and 1, with 0 indicating no overlap and 1 complete overlap between the sets.
#Jaccard coefficient xlstat windows
Where W 1 and W 2 are two sets, in our case the 1-year windows of the ego networks.
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If you have questions, comments, or just want to say hello, feel free to drop me a line using the contact form below.(5.1) J ( W 1, W 2 ) = | W 1 ∩ W 2 | | W 1 ∪ W 2 | Statistics in Excel Made Easy: A collection of 16 Excel spreadsheets that contain built-in formulas to perform the most commonly used statistical tests. Statology Study: An online study guide with over 100 practice problems and solutions that helps you understand all of the core concepts taught in any introductory statistics course.Įlementary Statistics Formula Sheet: A printable formula sheet that contains the formulas for the most common confidence intervals and hypothesis tests in Elementary Statistics, all neatly arranged on one page. Introduction to Statistics Course: An online course that includes 19 videos with 2 hours of total content that teaches you the core concepts taught in introductory statistics. I’ve created the following products to make your life easier with statistics:
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