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)

Screenshot

https://ddownload.com/2ly8t3njhl6c/Coursera.-.Applied.Social.Network.Analysis.in.Python.rar

https://rapidgator.net/file/460a7d46496754f61f1177c77362791a/Coursera.-.Applied.Social.Network.Analysis.in.Python.rar

https://turbobit.net/86up5edskn61/Coursera.-.Applied.Social.Network.Analysis.in.Python.rar.html