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Power Law Distribution
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2016-06-22,
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寫筆記
索引
1. Network Models -Properties of Real-World Networks網路模型 – 真實網路世界的性質
2. Properties of Real-World Networks真實網路世界的性質
3. Degree Distribution度分佈
4. Degree Distribution度分佈
5. Degree Distribution度分佈
6. Power Law Distribution冪次律分佈
7. Normal Distribution常態分佈
8. Power Law Distribution冪次律分佈
9. Power Laws are Seemingly Everywhere冪次律分佈處處可見
10. Power Law Distribution冪次律分佈
11. Power Law Distribution
12. Power-law Distribution: Test
13. Power-Law Distribution: Real-World Networks
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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Book Draft PDF and Powerpoint Slides available at http://dmml.asu.edu/smm
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