#centrality — Public Fediverse posts

"The Appstore killed the Website Star"
https://www.technollama.co.uk/the-appstore-killed-the-website-star
#Centrality #WalledGardens #Web2.0
#Internet #Browsers #Capitalism

"The Appstore killed the Website Star"
https://www.technollama.co.uk/the-appstore-killed-the-website-star
#Centrality #WalledGardens #Web2.0
#Internet #Browsers #Capitalism

"The Appstore killed the Website Star"
https://www.technollama.co.uk/the-appstore-killed-the-website-star
#Centrality #WalledGardens #Web2.0
#Internet #Browsers #Capitalism

"The Appstore killed the Website Star"
https://www.technollama.co.uk/the-appstore-killed-the-website-star
#Centrality #WalledGardens #Web2.0
#Internet #Browsers #Capitalism

"The Appstore killed the Website Star"
https://www.technollama.co.uk/the-appstore-killed-the-website-star
#Centrality #WalledGardens #Web2.0
#Internet #Browsers #Capitalism

Poor Perception of Friendship Ties Limits the Ability to Promote Change (2016)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0151588
#ycombinator #Network_reciprocity #Physical_activity #Social_influence #Centrality #Interpersonal_relationships #Data_mining #Cell_phones #Social_networks

Poor Perception of Friendship Ties Limits the Ability to Promote Change (2016)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0151588
#ycombinator #Network_reciprocity #Physical_activity #Social_influence #Centrality #Interpersonal_relationships #Data_mining #Cell_phones #Social_networks

Poor Perception of Friendship Ties Limits the Ability to Promote Change (2016)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0151588
#ycombinator #Network_reciprocity #Physical_activity #Social_influence #Centrality #Interpersonal_relationships #Data_mining #Cell_phones #Social_networks

Poor Perception of Friendship Ties Limits the Ability to Promote Change (2016)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0151588
#ycombinator #Network_reciprocity #Physical_activity #Social_influence #Centrality #Interpersonal_relationships #Data_mining #Cell_phones #Social_networks

'Individual-centered Partial Information in Social Networks', by Xiao Han, Y. X. Rachel Wang, Qing Yang, Xin Tong.

http://jmlr.org/papers/v25/23-0005.html

#adjacency #centrality #subgraphs

Calculating different #centrality measures for a street #network takes longer than expected.

#DegreeCentrality is calculated in a few milliseconds. But oh boy. #ClosenessCentrality and #BetweennessCentrality are proper whoppers. For a network of 65 000 nodes, we're talking about 2+ hour calculation times for the closeness centrality, not to mention the betweenness.

Apparently switching to #igraph would provide a speed boost over #networkx but the convenience of #osmnx has won me over.

Calculating different #centrality measures for a street #network takes longer than expected.

#DegreeCentrality is calculated in a few milliseconds. But oh boy. #ClosenessCentrality and #BetweennessCentrality are proper whoppers. For a network of 65 000 nodes, we're talking about 2+ hour calculation times for the closeness centrality, not to mention the betweenness.

Apparently switching to #igraph would provide a speed boost over #networkx but the convenience of #osmnx has won me over.

Calculating different #centrality measures for a street #network takes longer than expected.

#DegreeCentrality is calculated in a few milliseconds. But oh boy. #ClosenessCentrality and #BetweennessCentrality are proper whoppers. For a network of 65 000 nodes, we're talking about 2+ hour calculation times for the closeness centrality, not to mention the betweenness.

Apparently switching to #igraph would provide a speed boost over #networkx but the convenience of #osmnx has won me over.

Calculating different #centrality measures for a street #network takes longer than expected.

#DegreeCentrality is calculated in a few milliseconds. But oh boy. #ClosenessCentrality and #BetweennessCentrality are proper whoppers. For a network of 65 000 nodes, we're talking about 2+ hour calculation times for the closeness centrality, not to mention the betweenness.

Apparently switching to #igraph would provide a speed boost over #networkx but the convenience of #osmnx has won me over.

Calculating different #centrality measures for a street #network takes longer than expected.

#DegreeCentrality is calculated in a few milliseconds. But oh boy. #ClosenessCentrality and #BetweennessCentrality are proper whoppers. For a network of 65 000 nodes, we're talking about 2+ hour calculation times for the closeness centrality, not to mention the betweenness.

Apparently switching to #igraph would provide a speed boost over #networkx but the convenience of #osmnx has won me over.