Research Associate, Network Analysis, Social Media and Programming
Artificial Neural Networks (simply known as neural networks) come in all different shapes and sizes and can be designed to solve different types of problems. Classification, regression, supervised and unsupervised. Neural networks are incredibly versatile. It’s fair to say that neural networks are the go-to solution for any predictive task imaginable. This is especially true … Read more
Hashtags are an important part of microblogging and are used to reach a wider audience of interested people. Much like Twitter, hashtags are also widely used on Mastodon and it’s common for users to include as many hashtags as possible in their posts to maximum the audience reach. Also, as shown in a previous post, … Read more
In the previous post, I talked about some of the software I use every day for performing data science related tasks. In my case, the vast majority of the time I use the software to perform social network analysis (my area of expertise) as well other generic data science tasks (such as scraping and data … Read more
On Saturday, Wales and England fans watched their team’s playing against each other in the famous Six Nations rugby match in Cardiff. As always, this receives a lot of attention on social media as fans provide a running commentary and develop conversation with others. To understand how these conversations are formed over time, this blog … Read more
In a previous post, I walked through the basics on how to import a network into Gephi using a spreadsheet. As shown, this is an easy way to import data into Gephi in the form of a list of edges. As mentioned before, this method is also ideal if you’re working with external sources (e.g. … Read more