104研習工作坊/研習會
Social Media Mining
1. Introduction
41:30
2016-06-21Introduction - Part 1
47:34
2016-06-21Introduction - Part 2
2. Graph Essentials
11:15
2016-03-18Types of Graphs
11:32
2016-03-24Special Graphs and Special Subgraphs
3. Network Measures
28:23
2016-06-19Centrality
27:57
2016-06-19Normalization and EigenVector
15:46
2016-06-20Eigenvector Centrality
08:02
2016-06-20Katz Centrality
18:23
2016-06-20Betweenness Centrality
08:10
2016-06-20Closeness Centrality
08:59
2016-06-20Group Centrality
20:56
2016-06-20Transitivity
09:11
2016-06-20Reciprocity
23:03
2016-06-20Structural Equivalence
10:38
2016-06-24Regular Equivalence
4. Network Models
10:11
2016-06-22Network Models
21:01
2016-06-22Power Law Distribution
10:24
2016-06-22Clustering Coefficient
16:50
2016-06-22Average Path Length
12:10
2016-06-22Random Graphs
33:14
2016-06-23Evolution of Random Graphs
5. Data Mining Essentials
18:30
2016-06-21Data Mining Essentials
16:57
2016-06-23Data (Part 2)
11:51
2016-06-23Data (Part 3)
17:26
2016-06-23Data (Part 4)
28:41
2016-06-24Supervised Learning Algorithm
16:59
2016-06-24Unsupervised Learning Algorithm
6. Community Analysis
13:34
2016-06-24Community Analysis