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Introduction - Part 2
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2016-06-21,
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寫筆記
索引
1. IntroductionPart II
2. PTT (批踢踢實業坊)
3. Objectives
4. Overview – Dependency Graph
5. Social Media
6. Definition
7. 2008
8. 2009
9. 2011
10. 2012
11. 2013
12. 2012
13. 2011
14. 2012
15. 2013
16. 2014
17. 2015
18. Slide 14
19. Social Media Mining Challenges
20. 感謝以下創用作者公開授權讓教材更豐富
社群媒體探勘
1. Introduction
1.1
Introduction - Part 1
1.2
Introduction - Part 2
2. Graph Essentials
2.1
Types of Graphs
2.2
Special Graphs and Special Subgraphs
2.3
Graph Algorithms : Graph/Network Traversal Algorithms
3. Network Measures
3.1
Centrality
3.2
Normalization and EigenVector
3.3
Eigenvector Centrality
3.4
Katz Centrality
3.5
PageRank
3.6
Betweenness Centrality
3.7
Closeness Centrality
3.8
Group Centrality
3.9
Transitivity
3.10
Reciprocity
3.11
Status
3.12
Structural Equivalence
3.13
Regular Equivalence
4. Network Models
4.1
Network Models
4.2
Power Law Distribution
4.3
Clustering Coefficient
4.4
Average Path Length
4.5
Random Graphs
4.6
Evolution of Random Graphs
5. Data Mining Essentials
5.1
Data Mining Essentials
5.2
Data
5.3
Data (Part 2)
5.4
Data (Part 3)
5.5
Data (Part 4)
5.6
Supervised Learning Algorithm
5.7
Unsupervised Learning Algorithm
6. Community Analysis
6.1
Community Analysis
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Introduction - Part 1
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Types of Graphs
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Book Draft PDF and Powerpoint Slides available at http://dmml.asu.edu/smm
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