{"id":1721,"date":"2014-04-24T09:55:59","date_gmt":"2014-04-24T09:55:59","guid":{"rendered":"https:\/\/www.lamagnetica.com\/social-network-analysis-museumweek-3-a-closer-look-to-the-country-groups\/"},"modified":"2023-02-10T07:47:03","modified_gmt":"2023-02-10T07:47:03","slug":"social-network-analysis-museumweek-3-a-closer-look-to-the-country-groups","status":"publish","type":"post","link":"https:\/\/www.lamagnetica.com\/es\/blog\/social-network-analysis-museumweek-3-a-closer-look-to-the-country-groups\/","title":{"rendered":"Social Network Analysis MuseumWeek 3: A closer look to the country groups."},"content":{"rendered":"

In our last post about the\u00a0#museumweek<\/strong> initiative we showed that there was a natural separation between the 4 participating countries: UK, France, Italy and Spain. The analysis presented 4 groups with a lot of interactions within each one of the groups, but with fewer cross-country interactions.<\/p>\n

<\/p>\n

In this new post, \u00a0we have analysed through Social Network Analysis\u00a0the differences among the countries that took part on #museumweek<\/b>, and we will draw some conclusions about the difference in behavior patterns.<\/p>\n

We will start by showing the network of interactions<\/strong> of all the profiles that used the hashtag #museumweek<\/strong>.<\/p>\n\"Social<\/a>\n

In order to have a clearer visualization of this network, we are going to apply the same filters we used in our previous post. Despite the simplification in the graphic layout, the numerical analysis is performed over the whole data set in order to achieve more reliable insights.<\/p>\n

This will let us have a more compact graph, which includes the most active profiles and can be displayed in our computer screen:<\/p>\n\"Museumweek<\/a>\n

Country groups<\/h2>\n

Crossing the modularity\u2019s information (ie. groups) with the information Twitter provides about each user\u2019s language we have been able to categorize a 73.4% of the core graph profiles. Remaining profiles are from other countries or we haven\u2019t been able to classify them with the analyzed data; we have to take into account that Twitter does not have this information for all profiles.<\/p>\n

First, we are going to see the total users per country, and its percentage among the total number of profiles analyzed:<\/p>\n

\"Country<\/a><\/p>\n

This chart confirms what we already saw in the visual analysis of the network in previous posts: almost half of the profiles who have tweeted using the hashtag #museumweek<\/b> are British, while the rest divides uniformly between Spain, Italy and France.<\/p>\n

We will show close up views of each country group a graph for each one of the countries:<\/p>\n

\"British<\/a> British Community MuseumWeek<\/div>\n

Here you have a high-resolution image of the graph: Download<\/a><\/p>\n

\"Spanish<\/a> Spanish Community MuseumWeek<\/div>\n

Here you have a high-resolution image of the graph: Download<\/a><\/p>\n

\"Italian<\/a> Italian Community MuseumWeek<\/div>\n

Here you have a high-resolution image of the graph: Download<\/a><\/p>\n

\"French<\/a> French Community MuseumWeek<\/div>\n

Here you have a high-resolution image of the graph: Download<\/a><\/p>\n

Differences between countries<\/h2>\n

A very interesting datum that will help us understand the structure of each group is the average distance<\/a> within profiles of each country. Distance between two users is the minimum number of links that we have to go through in order to go from one point to another. The average distance within each country group will serve us as an indicator of the degree of interconnection between different profiles.<\/p>\n

The following table summarizes this information:<\/p>\n

\"Differences<\/a><\/p>\n

It is interesting to realize that United Kingdom, the country with more contestants in this initiative is, at the same time, the country with the highest average distance between users, with a major diameter. It is an expected result: the more a graph grows, the more the values are likely to increase.<\/p>\n

The other 3 countries, with groups of 4.500 \u2013 5.000 users, let us observe:<\/p>\n