I was much impressed by the news-explorer view of IBM.It shows a network view with on searching a keyword and it explores the relational edges with a graph.Here it isI think it uses the k-means clustering in background.I too want to do the same for twitter data.I have tweets and users and mentions i want show same a network relation between them.can any one suggest me any graphical data tool which shows the network just like IBM by taking data. using clustering algorithms like k-means or any other make my work done?or do i need to go for any other approach ?
How to create a social network like IBM's Watson News Explorer?
machine learning;k means;unsupervised learning;orange