社群媒體探勘 | 實踐大學影音平台

實踐大學影音平台

Social Media Mining

1.
Introduction
- 41:30
  
  1.1 Introduction - Part 1
- 47:34
  
  1.2 Introduction - Part 2
2.
Graph Essentials
- 11:15
  
  2.1 Types of Graphs
- 11:32
  
  2.2 Special Graphs and Special Subgraphs
- 40:02
  
  2.3 Graph Algorithms : Graph/Network Traversal Algorithms
3.
Network Measures
- 28:23
  
  3.1 Centrality
- 27:57
  
  3.2 Normalization and EigenVector
- 15:46
  
  3.3 Eigenvector Centrality
- 08:02
  
  3.4 Katz Centrality
- 07:50
  
  3.5 PageRank
- 18:23
  
  3.6 Betweenness Centrality
- 08:10
  
  3.7 Closeness Centrality
- 08:59
  
  3.8 Group Centrality
- 20:56
  
  3.9 Transitivity
- 09:11
  
  3.10 Reciprocity
- 14:46
  
  3.11 Status
- 23:03
  
  3.12 Structural Equivalence
- 10:38
  
  3.13 Regular Equivalence
4.
Network Models
- 10:11
  
  4.1 Network Models
- 21:01
  
  4.2 Power Law Distribution
- 10:24
  
  4.3 Clustering Coefficient
- 16:50
  
  4.4 Average Path Length
- 12:10
  
  4.5 Random Graphs
- 33:14
  
  4.6 Evolution of Random Graphs
5.
Data Mining Essentials
- 18:30
  
  5.1 Data Mining Essentials
- 23:39
  
  5.2 Data
- 16:57
  
  5.3 Data (Part 2)
- 11:51
  
  5.4 Data (Part 3)
- 17:26
  
  5.5 Data (Part 4)
- 28:41
  
  5.6 Supervised Learning Algorithm
- 16:59
  
  5.7 Unsupervised Learning Algorithm
6.
Community Analysis
- 13:34
  
  6.1 Community Analysis