Networks are increasingly common aspects of contemporary life: social networks, transportation networks, information networks, citation networks, and more. Networks consist of nodes (individual people or things) and edges (links, relationships, or interactions) that connect them. Researchers increasingly use network analysis to investigate the structures and connective relationships of networks relevant to their discipline. In this workshop, we will discuss foundational concepts of network analysis, the different types of networks, some analytical tools and concepts and different types of plots. We will also discuss the basics of network analysis in Python using the NetworkX library. We will create basic networks from scratch, adding nodes, edges and metadata and plotting it. We will see how to use list comprehension to create sub-networks with nodes of interest and edges of interest. Finally, we will learn how to deal with real existent databases, how to import them and prepare them to be analyzed in Python.

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