🌀 Applied Social Network Analysis in Python
https://www.coursera.org/learn/python-social-network-analysis
📌 About this course:
This course will introduce the learner to network modelling through the #networkx toolset. Used to model knowledge graphs and physical and virtual #networks, the lens will be social network analysis. The course begins with an understanding of what network modelling is (#graph_theory) and motivations for why we might model phenomena as networks. The second week introduces the networkx library and discusses how to build and #visualize networks. The third week will describe #metrics as they relate to the networks and demonstrate how these metrics can be applied to graph structures. The final week will explore the #social networking analysis workflow, from problem identification through to generation of insight.
https://www.coursera.org/learn/python-social-network-analysis
📌 About this course:
This course will introduce the learner to network modelling through the #networkx toolset. Used to model knowledge graphs and physical and virtual #networks, the lens will be social network analysis. The course begins with an understanding of what network modelling is (#graph_theory) and motivations for why we might model phenomena as networks. The second week introduces the networkx library and discusses how to build and #visualize networks. The third week will describe #metrics as they relate to the networks and demonstrate how these metrics can be applied to graph structures. The final week will explore the #social networking analysis workflow, from problem identification through to generation of insight.