Coursera - Applied Social NetWork Analysis in Python

[AD-TEAM]

798.57 MB | 00:19:37 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
03 networks-definition-and-why-we-study-them (30.15 MB)
04 network-definition-and-vocabulary (33.01 MB)
05 node-and-edge-attributes (12.35 MB)
06 bipartite-graphs (34.48 MB)
08 ta-demonstration-loading-graphs-in-networkx (11.7 MB)
01 clustering-coefficient (24.55 MB)
02 distance-measures (33.36 MB)
03 connected-components (22.96 MB)
04 network-robustness (33.32 MB)
05 ta-demonstration-simple-network-visualizations-in-networkx (15.15 MB)
01 degree-and-closeness-centrality (29.93 MB)
02 betweenness-centrality (30.5 MB)
03 basic-page-rank (31.28 MB)
04 scaled-page-rank (38.52 MB)
05 hubs-and-authorities (51.07 MB)
06 centrality-examples (26.34 MB)
01 preferential-attachment-model (58.68 MB)
03 small-world-networks (113.71 MB)
04 link-prediction (79.59 MB)

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