Analysis of Two-Mode Networks with Python | Demival Vasques Filho

Workshop by Demival Vasques Filho (Leibniz-Institut fur Europäische Geschichte) at the Conference HNR+ResHist2021 Conference "Historical Networks - Réseaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
About the workshop:
Many systems represented by networks are projections of more complicated structures. Often, the original network has a bipartite architecture comprised of two different types of nodes; thus the name two-mode (or bipartite) networks. Examples are relations based on membership, affiliation, collaboration, employment, ownership, and others.
We use (one-mode) projections of two-mode networks mainly for two reasons. First, we are often more interested in only one of the types of nodes; those with agency. Second, there is a myriad of metrics for studying one-mode networks, while there exist fewer well-established one to characterize the structural properties of a two-mode network.
In this workshop, we will learn about the metrics that we employ to directly analyze two-mode networks as, for instance, the degree distribution of both sets of nodes, redundancy, clustering coefficients, and the presence of motifs (small-cycles). Also, we will discuss projections, and how and when to use the different methods for creating one-mode projected networks, such as simple, multi, and weighted graph projections.
We highly suggest that all attendees have the Anaconda Distribution already installed on their computers. Anaconda provides Python, Jupyter Notebook, and all the Python libraries that we will use during the workshop.
hnr2021.histori...

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