In my last post, I previewed a feature that I am currently building into netvizz: posts and users that comment and like them are thrown together into a bipartite graph. In this approach, it is easy to combine data from different pages, here from the 30 latest posts of the New York Times and the Wall Street Journal, plotting 27K users (bigger image behind the click):

The app will start spitting out more metrics in the next version, but it’s easy to see from the gephi graph that the NY Times (red) has a bit more users (grey) than the WSJ (blue). There is a bit of overlap in terms of (active) audience, but in general, there seem to be quite distinct populations of the short span the data covers. Interestingly, one post – talking about the space shuttle Endeavor – is a true outlier: it has succeeded in capturing a less “specific” audience.

As this method could be applied to a potentially infinite number of pages, this is really becoming quite problematic in terms of privacy. I have cut the labels for users, but they are in the data. I am unsure about this for the moment, but this feature may not make it in full into the next version.

Post filed under facebook, social networks, softwareproject, surveillance.

3 Comments

  1. Pingback: new netvizz feature: page networks and statistics

  2. Pingback: Problematic Facebook API permissions: the case of read_stream

  3. Pingback: A review on Gephi and my own social network layout | com435--MINGJIAN CUI

Leave a Reply

Your email address will not be published. Required fields are marked *


Tech support questions will not be answered. Please refer to the FAQ of the tool.