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EverCam
Network Models
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2016-06-22,
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寫筆記
索引
1. Network Models網路模型
2. Why should I use network models?
3. So, what do we do?
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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Power Law Distribution
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Book Draft PDF and Powerpoint Slides available at http://dmml.asu.edu/smm
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