Generalized random networks
So long and thanks for all the Poisson.
Reheated slides on toast:
; Last updated: 2023/08/22, 11:48:23
Freeze-dried snack slides:
; Last updated: 2023/08/22, 11:48:21
Original slides as served in lectures:
58M
; Last updated: 2023/08/22, 11:48:25
Covered in these episode(s) and clip(s):
Episode 1: The structure of generalized random networks (1:40:13)
Clip 1: Random Networks intro (6:43)
Clip 2: Construction methods 1/2 (6:32)
Clip 3: Visual examples of random networks (7:37)
Clip 4: Phase transition: The appearance of the Giant Component (2:42)
Clip 5: Clustering = 0 for random networks (3:04)
Clip 6: Pure random networks have Poisson degree distributions (6:16)
Clip 7: Generalized random networks, or The Configuration Model (6:10)
Clip 8: Construction methods 2/2 (6:23)
Clip 9: Motifs (2:43)
Clip 10: Edge-degree distribution (11:44)
Clip 11: Upsettingly strange friends (4:39)
Clip 12: The giant component condition for random networks (7:23)
Clip 13: A better spreading condition (9:40)
Clip 14: Erdős–Rényi networks: Giant component condition (1:14)
Clip 15: Scale-free networks: Giant component condition (5:02)