
Factors such as their structural relation to further people and whether those additional people were themselves connected to one another have decisive influence on events. As sociologist Mark Granovetter pointed out in his important 1973 article “ The Strength of Weak Ties,” it’s rarely enough to notice that two people were connected with one another. Networks have long interested researchers in the humanities, but many recent scholars have progressed from a largely qualitative and metaphoric interest in links and connections to a more formal suite of quantitative tools for studying mediators, hubs (important nodes), and inter-connected structures. Check out the Programming Historian tutorials on installing Python and working with pip for more information. For this reason, when accessing Python 3 you will often have to explicitly declare it by typing python3 and pip3 instead of simply python and pip. It’s possible to have two versions of Python (2 and 3) installed on your computer at one time.

We will therefore focus on ways to analyze, and draw conclusions from, networks without visualizing them. N.b.: This is a tutorial for exploring network statistics and metrics. To analyze humanities network data to find:.To use the NetworkX package for working with network data in Python and.

