Urban Street Network Centrality – Geoff Boeing
Check out the journal article about OSMnx. We can measure and visualize how “important” a node or an edge is in a network by calculating its centrality. Lots of flavors of centrality ex…
Check out the journal article about OSMnx. We can measure and visualize how “important” a node or an edge is in a network by calculating its centrality. Lots of flavors of centrality exist in network science, including closeness, betweenness, degree, eigenvector, and PageRank. Closeness centrality measures the average shortest path between each node in the network and every other node: more central nodes are closer to all other nodes. We can calculate this easily with OSMnx , as seen in this GitHub demo . For example, here is the node closeness centrality for Piedmont, California: The nodes ar
related reading
- Centrality - Wikipediaen.wikipedia.org
- OSMnx Paper | Geoff Boeinggeoffboeing.com
- Betweenness centrality - Wikipediaen.wikipedia.org
- Universal Model of Urban Street Networksarxiv.org
- Urban Street Network Orientation | Geoff Boeinggeoffboeing.com
- Urban spatial order: street network orientation, configuration, and entropyappliednetsci.springeropen.com
- OSMnx 2.1.1 documentationosmnx.readthedocs.io
- A Gentle Introduction to Graph Neural Networksdistill.pub
- Graph algorithms in Neo4j: PageRankneo4j.com
- Centralization is inevitablesubconscious.substack.com
- Overview ‹ Reversed Urbanism - MIT Media Labmedia.mit.edu
- GraphTheoreticProperties.pdfcs.rice.edu