Temporal Graphs for Dynamic Network Analysis

author: Mirco Musolesi, School of Computer Science, University of Birmingham
published: July 4, 2012,   recorded: May 2012,   views: 99
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Slides

Slides
0:00 Temporal Graphs for Dynamic Network Analysis
0:34 Example of a Static Network
1:54 Example of a Dynamic Network
2:25 Example of Social Networks
3:04 Example of an Epidemics Network
3:57 Problem
4:23 An Example of Temporal Graph
4:45 ...and the Corresponding Static Graph
4:58 INFOCOM Dataset (1)
5:17 INFOCOM Dataset (2)
5:33 Calculating the Temporal Distance
5:42 Calculating the Temporal Distance (t = 1)
5:43 Calculating the Temporal Distance (t = 2)
5:51 Calculating the Temporal Distance (t = 3)
5:54 Calculating the Temporal Distance (t = 4)
5:57 What about the Static Distance?
6:25 What about the Symmetric Distance (F to A)?
6:28 Calculating the Inverse Temporal Distance (t = 1)
6:29 Calculating the Inverse Temporal Distance (t = 2)
6:30 Calculating the Inverse Temporal Distance (t = 3)
6:31 Calculating the Inverse Temporal Distance (t = 4)
6:59 Characteristic Temporal Path Length (1)
7:23 Characteristic Temporal Path Length (2)
7:54 Impact of the Horizon Parameter (F -> A, h = 1)
7:57 Impact of the Horizon Parameter (F -> A, h = 2)
8:03 Characteristic Temporal Path Length (3)
8:21 Temporal Efficiency
9:14 Centrality Metrics
10:10 Degree
10:33 Static Closeness Centrality
10:57 Static Betweenness Centrality
11:26 Temporal Centrality Measures
13:07 Temporal Closeness (1)
13:25 Temporal Closeness (2)
13:37 Temporal Betweenness (1)
14:52 Temporal Betweenness (2)
15:13 Temporal Betweenness (3)
15:40 Temporal Betweenness (4)
15:47 Evaluating Centrality
16:55 Evaluating Centrality: Enron in the News
17:41 Scandals (1)
17:42 Scandals (2)
17:44 Scandals (3)
18:34 Public Investigation
18:59 Email Exchanges to Temporal Graph
19:15 Semantics (1)
19:40 Semantics (2)
20:36 Small-World Behaviour in Time-Varying Networks
22:28 What´s Next?
28:00 Questions?

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